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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. 2375
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    Explanations

    positive and enthusiastic expressions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration and humor

    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
     looph
    -0.64
    WARN
    -0.58
    actionDate
    -0.58
    olid
    -0.58
    alys
    -0.57
     chiefly
    -0.57
     Abbas
    -0.57
     principally
    -0.56
    particularly
    -0.56
     econom
    -0.55
    POSITIVE LOGITS
    !!!
    0.97
    !!!!!
    0.96
    !!!!
    0.93
     ;)
    0.92
    !!
    0.82
    !.
    0.80
    !'
    0.78
    !".
    0.77
     :)
    0.74
    $$
    0.73
    Activations Density 1.464%

    No Known Activations