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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. 5653
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    INDEX
    Explanations

    resolute and exclamatory statements

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory statements or expressions of strong emotion

    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
     destro
    -0.85
     conduc
    -0.84
    uter
    -0.81
     metic
    -0.75
     reused
    -0.74
     skelet
    -0.74
    ·
    -0.73
     condem
    -0.73
    matically
    -0.72
     microbiome
    -0.72
    POSITIVE LOGITS
    #$
    1.17
    @#&
    1.16
    ?!
    0.98
    @#
    0.95
     Somebody
    0.89
     Surely
    0.88
     Come
    0.78
     Someone
    0.77
     Suddenly
    0.77
     Finally
    0.75
    Activations Density 0.066%

    No Known Activations