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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. 4566
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases introducing lists or examples

    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
    Sem
    -0.73
    Char
    -0.65
     muscles
    -0.64
    alties
    -0.62
    ago
    -0.61
     upgr
    -0.61
    oslav
    -0.60
     Expression
    -0.59
     proportions
    -0.58
    imb
    -0.58
    POSITIVE LOGITS
     Nieto
    0.79
    nesday
    0.78
    antage
    0.73
    ilater
    0.70
    ESE
    0.64
     snipp
    0.64
    tainment
    0.63
     illustrates
    0.62
    OTUS
    0.62
    女
    0.62
    Activations Density 0.239%

    No Known Activations