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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. 17846
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    INDEX
    Explanations

    contractions and phrases related to actions

    oai_token-act-pair · gpt-3.5-turbo

    frequent use of the word "it" and noticeable expressions of negation and desire

    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
    ascript
    -0.79
    cli
    -0.72
    ãĤ´ãĥ³
    -0.66
    ieval
    -0.64
    fram
    -0.63
    imum
    -0.62
    anchester
    -0.62
    éĹĺ
    -0.62
    RNA
    -0.61
    ordering
    -0.61
    POSITIVE LOGITS
     therein
    0.88
     importantly
    0.86
     darn
    0.78
     thereof
    0.72
     prest
    0.72
    oooo
    0.72
     cru
    0.72
     kicker
    0.70
     damn
    0.69
     TRUMP
    0.69
    Activations Density 0.391%

    No Known Activations