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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. 9830
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    Explanations

    terms related to physical actions and situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of severe legal actions and their consequences

    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
    SPONSORED
    -0.66
    ":{"
    -0.60
    VERTISEMENT
    -0.56
    advertising
    -0.56
    æ©Ł
    -0.56
    âĢ
    -0.54
    >]
    -0.54
    ":[{"
    -0.53
    Auth
    -0.53
    )}
    -0.52
    POSITIVE LOGITS
     everywhere
    0.89
     but
    0.80
     though
    0.80
     till
    0.75
     however
    0.73
     meanwhile
    0.73
     again
    0.71
     now
    0.67
     and
    0.67
     here
    0.67
    Activations Density 1.053%

    No Known Activations