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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. 21673
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    INDEX
    Explanations

    dates with degrees

    oai_token-act-pair · gpt-3.5-turbo

    periods and potential indicators of official or formal reporting

    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
    ngth
    -0.78
    igraph
    -0.66
     purse
    -0.65
     guiActiveUn
    -0.60
    pter
    -0.60
     "_
    -0.60
     drib
    -0.60
     portrait
    -0.60
    vp
    -0.58
     reflection
    -0.58
    POSITIVE LOGITS
    lehem
    0.94
    pillar
    0.90
    apest
    0.84
    levard
    0.80
    mingham
    0.77
    aughs
    0.73
    dylib
    0.71
    ĵĺ
    0.68
    EStreamFrame
    0.67
    reau
    0.65
    Activations Density 0.031%

    No Known Activations