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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. 8-RES-JB
    11. 1224
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    Explanations

    phrases indicating a necessity or obligation to perform an action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize necessity or obligation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Globe
    -0.75
     Hamm
    -0.70
    guyen
    -0.69
     Printing
    -0.68
     Newspaper
    -0.64
    LP
    -0.63
     Gw
    -0.62
    need
    -0.61
    endiary
    -0.61
     VICE
    -0.59
    POSITIVE LOGITS
    fitting
    1.02
     able
    0.98
     accounted
    0.91
     dealt
    0.90
     kept
    0.90
     addressed
    0.89
    leeve
    0.88
    fits
    0.88
     reckoned
    0.87
     treated
    0.87
    Activations Density 0.064%

    No Known Activations