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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. 9-RES-JB
    11. 7169
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    Explanations

    phrases related to statements or quotes from prominent figures

    oai_token-act-pair · gpt-3.5-turbo

    quotations or statements made by individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    generated
    -0.73
    Cop
    -0.73
    otin
    -0.72
     ILCS
    -0.71
    KEY
    -0.62
    tan
    -0.62
    ene
    -0.62
    isal
    -0.61
    avery
    -0.61
    ]=
    -0.61
    POSITIVE LOGITS
     yesterday
    1.32
     Wednesday
    1.22
     Thursday
    1.20
     Tuesday
    1.19
     Monday
    1.15
     earlier
    1.09
     recently
    1.07
     Friday
    1.05
     Sunday
    0.95
    nesday
    0.94
    Activations Density 0.374%

    No Known Activations