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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. 11-RES-JB
    11. 6907
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    Explanations

    ages mentioned

    oai_token-act-pair · gpt-3.5-turbo

    mentions of age and time-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opped
    -0.70
    vae
    -0.58
    vard
    -0.58
    nih
    -0.57
    inness
    -0.56
    zzle
    -0.55
    chery
    -0.53
    isively
    -0.53
    orney
    -0.52
    ysical
    -0.52
    POSITIVE LOGITS
     so
    1.32
     but
    1.20
    so
    1.10
     and
    1.06
     whereas
    1.00
     meaning
    0.93
    So
    0.92
    but
    0.91
     hence
    0.91
     however
    0.90
    Activations Density 1.003%

    No Known Activations