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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. 9868
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    Explanations

    references to sports players and their statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual or character within the context

    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
    ablishment
    -0.82
    sylv
    -0.77
    bara
    -0.73
    naires
    -0.72
    itect
    -0.72
    uminati
    -0.68
    izabeth
    -0.66
    ropolitan
    -0.66
     Lilith
    -0.65
    river
    -0.65
    POSITIVE LOGITS
     teammates
    1.37
     teammate
    1.32
     own
    1.20
     career
    1.06
     rookie
    1.06
     comeback
    1.04
     hometown
    1.03
     sophomore
    1.02
     injury
    1.01
     surg
    0.98
    Activations Density 0.168%

    No Known Activations