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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. 8-RES-JB
    11. 12426
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    Explanations

    words related to organized systems or plans

    oai_token-act-pair · gpt-3.5-turbo

    references to various schemes or programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģĹ
    -0.68
    lake
    -0.67
    Flo
    -0.66
    inas
    -0.65
    Nob
    -0.63
    ãģķ
    -0.62
    parts
    -0.61
     Lutheran
    -0.61
    lean
    -0.60
    oat
    -0.59
    POSITIVE LOGITS
     schemes
    1.04
     scheme
    0.97
     devised
    0.94
    eers
    0.92
    ĸļ
    0.83
    etary
    0.82
    eering
    0.81
    ulence
    0.79
    mable
    0.77
     whereby
    0.74
    Activations Density 0.036%

    No Known Activations