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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. 11440
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to locations or places in the text

    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
    mun
    -0.70
    resistant
    -0.64
     Gian
    -0.59
    advant
    -0.59
    thy
    -0.58
    ilde
    -0.56
    uesday
    -0.55
    KING
    -0.55
     Santana
    -0.54
    eda
    -0.54
    POSITIVE LOGITS
     standpoint
    1.13
     perspective
    0.97
     vantage
    0.88
     perspectives
    0.84
     obscurity
    0.80
     onwards
    0.77
     confines
    0.77
    ratch
    0.76
     shores
    0.75
     viewpoint
    0.74
    Activations Density 0.143%

    No Known Activations