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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. 98
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    INDEX
    Explanations

    exclamatory phrases expressing excitement or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory punctuation marks and strong calls to action

    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
    yrus
    -0.87
     manif
    -0.86
    undai
    -0.86
    idon
    -0.85
    mos
    -0.81
    stem
    -0.76
    jected
    -0.75
     reven
    -0.73
    emon
    -0.73
     neighb
    -0.73
    POSITIVE LOGITS
    @#&
    1.35
    #$
    1.17
     :)
    1.10
     :-)
    1.05
     ;)
    1.02
     Whilst
    0.98
     Somebody
    0.96
     ðŁĻĤ
    0.96
    ?!
    0.95
     Especially
    0.95
    Activations Density 0.072%

    No Known Activations