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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. 4-RES-JB
    11. 22452
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    Explanations

    expressions denoting surprise or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically exclamation points

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

    No Comments

    Negative Logits
    sonian
    -0.69
    ding
    -0.69
    ral
    -0.68
    rab
    -0.66
    romy
    -0.64
    zbollah
    -0.61
    der
    -0.61
    oria
    -0.60
    worldly
    -0.60
    eling
    -0.60
    POSITIVE LOGITS
    âĶģ
    0.77
    uly
    0.74
    uits
    0.74
    ategory
    0.74
    #$
    0.73
    igham
    0.72
    CLASSIFIED
    0.72
    ugg
    0.70
    catentry
    0.70
    ominated
    0.70
    Activations Density 0.023%

    No Known Activations