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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. 3-RES-JB
    11. 6367
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    Explanations

    exclamatory sentences ending in '?!'

    oai_token-act-pair · gpt-3.5-turbo

    punctuations associated with surprise or questioning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itions
    -0.73
    Ö¼
    -0.73
    atives
    -0.72
    rive
    -0.69
    odor
    -0.68
    oreal
    -0.67
    ulp
    -0.67
    iences
    -0.67
     corrid
    -0.66
    oran
    -0.66
    POSITIVE LOGITS
    ?!
    1.22
    #$
    0.98
    @#
    0.92
    @#&
    0.91
     Huh
    0.89
    ?,
    0.84
    !!
    0.82
    !!!!!
    0.82
     Why
    0.79
     Seriously
    0.79
    Activations Density 0.005%

    No Known Activations