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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. 9-RES-JB
    11. 5573
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    Explanations

    historical events or years

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.73
    Condition
    -0.72
    etheless
    -0.63
    eps
    -0.61
    cheat
    -0.58
    artifacts
    -0.58
    hop
    -0.57
    imated
    -0.56
    depend
    -0.56
     ACTIONS
    -0.56
    POSITIVE LOGITS
     Newsweek
    0.75
     Forbes
    0.71
     there
    0.69
    ,
    0.67
     however
    0.66
     Bungie
    0.66
     they
    0.65
    lance
    0.64
     we
    0.64
     rumors
    0.64
    Activations Density 0.133%

    No Known Activations