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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. 147
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    Explanations

    phrases related to intentions or desires

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to personal agency and decision-making in various contexts

    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
    pmwiki
    -0.75
     Nanto
    -0.68
    assetsadobe
    -0.67
    uploads
    -0.63
    paralle
    -0.62
    uitous
    -0.60
     NTS
    -0.59
    sever
    -0.58
    NES
    -0.57
    iple
    -0.57
    POSITIVE LOGITS
    thood
    0.78
    ',"
    0.71
    renheit
    0.71
    ,'"
    0.69
    illance
    0.69
    ||||
    0.66
    ief
    0.64
     oppression
    0.63
    arenthood
    0.63
    .'"
    0.62
    Activations Density 0.806%

    No Known Activations