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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. 1688
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    Explanations

    mentions of specific names, possibly related to a particular person or character

    oai_token-act-pair · gpt-3.5-turbo

    references to the characters Mehndi and Megan in a narrative context

    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
    oshenko
    -0.98
    seless
    -0.85
    monary
    -0.78
    gments
    -0.77
    escent
    -0.75
    izons
    -0.75
    ç·
    -0.73
    gins
    -0.70
    sts
    -0.68
    rend
    -0.67
    POSITIVE LOGITS
    ixed
    1.02
    ciation
    0.90
    igation
    0.77
    TPS
    0.77
    agher
    0.74
    ixture
    0.73
    ipop
    0.69
    ister
    0.69
     Pwr
    0.68
     Leslie
    0.68
    Activations Density 0.027%

    No Known Activations