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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. 4411
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    percentages related to statistical data

    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
    Attributes
    -0.77
    ãĥ¤
    -0.74
    ITED
    -0.72
    HCR
    -0.71
    ç·
    -0.71
    çīĪ
    -0.69
    æĹ
    -0.69
     Rav
    -0.69
    kefeller
    -0.69
    æ³
    -0.69
    POSITIVE LOGITS
    imet
    1.29
    imeter
    0.96
    oning
    0.91
    rate
    0.87
    rowth
    0.87
    ril
    0.84
    ois
    0.84
    azo
    0.76
    +)
    0.75
    osite
    0.75
    Activations Density 0.018%

    No Known Activations