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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. 169
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    eers
    -0.99
    eering
    -0.96
    eer
    -0.78
    xon
    -0.76
    ça
    -0.69
    Downloadha
    -0.66
    ãĥ¡
    -0.65
    pection
    -0.65
    66666666
    -0.65
    rior
    -0.64
    POSITIVE LOGITS
    TL
    0.92
    istics
    0.91
    estone
    0.85
    outing
    0.82
    onge
    0.82
    ibrary
    0.77
    outed
    0.77
    oiler
    0.76
    oria
    0.76
    asted
    0.75
    Activations Density 0.013%

    No Known Activations