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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. 6-RES-JB
    6. 9064
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    Explanations

    terms related to studying or education

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "stud" and its variants, indicating a focus on educational context or learning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Test

    No Comments

    Negative Logits
     Centauri
    -0.69
     Algeria
    -0.69
     fragmentation
    -0.63
     sanctuary
    -0.62
     Spice
    -0.61
     FISA
    -0.61
    HOME
    -0.61
     airport
    -0.61
     slash
    -0.61
     Monteneg
    -0.60
    POSITIVE LOGITS
    ios
    1.29
    iop
    1.17
    ded
    1.15
    ious
    1.15
    iously
    1.13
    iation
    1.10
    iple
    1.08
    uously
    1.08
    yssey
    1.06
    ied
    1.06
    Activations Density 0.039%

    No Known Activations