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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. 7-RES-JB
    11. 7899
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    Explanations

    names of individuals involved in legal or political contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.84
     ANGEL
    -0.72
     horizont
    -0.68
     BOX
    -0.64
    ATIONAL
    -0.64
     acronym
    -0.63
     srfAttach
    -0.63
    VICE
    -0.63
    ktop
    -0.63
     anonymity
    -0.62
    POSITIVE LOGITS
    baugh
    1.29
    hart
    1.19
    meyer
    1.16
    hoff
    1.16
    enberg
    1.13
    hardt
    1.08
    ansky
    1.08
    mire
    1.08
    cock
    1.06
    love
    1.05
    Activations Density 0.227%

    No Known Activations