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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. 15008
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    INDEX
    Explanations

    words indicating contrast between appearance and reality

    oai_token-act-pair · gpt-3.5-turbo

    assertions of truth or factual statements

    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
    estamp
    -0.63
    listed
    -0.58
     culminated
    -0.57
    eworthy
    -0.56
    hood
    -0.55
     furthermore
    -0.55
    idon
    -0.55
    !:
    -0.54
     especially
    -0.54
    Synopsis
    -0.54
    POSITIVE LOGITS
     merely
    0.93
     purely
    0.84
     elsewhere
    0.78
    Downloadha
    0.76
     concentrate
    0.71
    yne
    0.71
    pmwiki
    0.70
     simply
    0.69
    ecause
    0.67
    oys
    0.65
    Activations Density 1.443%

    No Known Activations