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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. 6-RES-JB
    11. 3792
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    Explanations

    words related to groups, teams, companies, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to organizations, teams, or companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     amen
    -0.71
     predetermined
    -0.65
    asonable
    -0.63
    xious
    -0.63
     predec
    -0.62
    Houston
    -0.61
    scl
    -0.61
     nausea
    -0.61
    xus
    -0.60
     TAMADRA
    -0.60
    POSITIVE LOGITS
     abroad
    0.82
    eno
    0.73
    ön
    0.72
    Benz
    0.71
     Orchestra
    0.69
    iang
    0.69
    azeera
    0.68
    isine
    0.67
     Latvia
    0.67
     Railway
    0.67
    Activations Density 0.406%

    No Known Activations