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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 16140
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    INDEX
    Explanations

    expressions related to locations and dates

    oai_token-act-pair · gpt-3.5-turbo

    elements related to aging and age-related context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vard
    -0.72
    ramid
    -0.67
    ipt
    -0.65
    izen
    -0.61
    odan
    -0.58
    vae
    -0.57
     Tome
    -0.55
    eele
    -0.54
    undai
    -0.54
    odge
    -0.54
    POSITIVE LOGITS
     so
    1.19
    so
    1.07
     Therefore
    1.06
     hence
    1.06
    Therefore
    1.05
     meaning
    1.04
    yet
    1.01
    So
    0.99
     So
    0.97
     therefore
    0.91
    Activations Density 0.945%

    No Known Activations