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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. 6539
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    Explanations

    words related to evaluation or measurement

    oai_token-act-pair · gpt-3.5-turbo

    references to authority or significant individuals in various contexts

    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
    cffffcc
    -0.73
    hig
    -0.69
    .–
    -0.69
    .):
    -0.65
    Interstitial
    -0.64
    onew
    -0.61
    Cause
    -0.61
    ilaterally
    -0.60
    nova
    -0.59
    $.
    -0.58
    POSITIVE LOGITS
     they
    0.92
     we
    0.90
    yip
    0.86
     he
    0.85
     THEY
    0.85
    soever
    0.85
     thou
    0.84
     she
    0.75
     you
    0.72
    they
    0.70
    Activations Density 0.255%

    No Known Activations