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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. 7-RES-JB
    11. 23447
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    Explanations

    mentions of specific groups of people or professions

    oai_token-act-pair · gpt-3.5-turbo

    terms referring to various groups of people or stakeholders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iasis
    -0.68
    UCK
    -0.59
    tein
    -0.58
     Pillar
    -0.58
    ariat
    -0.58
     Thing
    -0.56
    rection
    -0.56
     Presence
    -0.55
    fecture
    -0.55
    bernatorial
    -0.55
    POSITIVE LOGITS
    hip
    0.96
    paces
    0.95
    folk
    0.91
    pace
    0.89
    avers
    0.84
     who
    0.83
    hips
    0.83
     ranging
    0.80
    ensitive
    0.79
    ettings
    0.78
    Activations Density 0.342%

    No Known Activations