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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. 4600
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    Explanations

    quotations

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks surrounding dialogue or speech

    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
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    Negative Logits
     organising
    -0.92
     favour
    -0.89
     fulfil
    -0.82
     envis
    -0.79
     analys
    -0.78
     defences
    -0.74
     organis
    -0.74
    aviour
    -0.74
     enqu
    -0.73
     splend
    -0.72
    POSITIVE LOGITS
    Freedom
    0.97
    We
    0.96
    Hey
    0.96
    I
    0.95
    Everything
    0.92
    They
    0.91
    God
    0.89
    Because
    0.89
    Nobody
    0.88
    Federal
    0.88
    Activations Density 0.174%

    No Known Activations