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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 6811
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    Explanations

    terms related to different fields of study, specifically focusing on pharmacology, microbiology, ethnology, linguistics, chemistry, and archaeology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various scientific and medical fields, particularly pharmacology and microbiology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.84
     Duchess
    -0.82
     Grind
    -0.80
     Sacrament
    -0.79
     Parish
    -0.78
     Citizens
    -0.76
     Pistons
    -0.76
     Sisters
    -0.76
     Loyal
    -0.75
     Bunker
    -0.75
    POSITIVE LOGITS
    odynamic
    1.43
    ologically
    1.33
    okin
    1.32
    ological
    1.26
    ographically
    1.22
    ologic
    1.22
    odynam
    1.21
    ographies
    1.20
    ographic
    1.20
    odynamics
    1.18
    Activations Density 0.050%

    No Known Activations