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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. 22061
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    Explanations

    the word "plain" with high activation values, possibly focusing on contexts related to simplicity or directness

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "plain" and its variations in different contexts

    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
    otos
    -0.90
    etheus
    -0.83
    yip
    -0.82
    allery
    -0.77
    glomer
    -0.76
    lasses
    -0.74
    bucks
    -0.73
    interstitial
    -0.73
    entric
    -0.72
    alez
    -0.71
    POSITIVE LOGITS
    plain
    1.08
    text
    1.06
    sheet
    0.97
     plain
    0.96
    sheets
    0.92
    rolled
    0.89
    cloth
    0.87
     vanilla
    0.87
    \\\\\\\\
    0.84
    ified
    0.82
    Activations Density 0.018%

    No Known Activations