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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. 9-RES-JB
    11. 13960
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    INDEX
    Explanations

    words or phrases indicating clarity or realization

    oai_token-act-pair · gpt-3.5-turbo

    statements of clarity or obviousness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izons
    -0.74
    gins
    -0.73
    idity
    -0.72
    ecycle
    -0.71
    pes
    -0.70
    scill
    -0.68
    emaker
    -0.66
    iqueness
    -0.66
    umbn
    -0.65
    avorite
    -0.65
    POSITIVE LOGITS
     why
    0.83
     enough
    0.82
    footed
    0.68
     how
    0.67
    ledged
    0.67
    aneously
    0.66
     that
    0.66
    cut
    0.65
    ered
    0.64
    ances
    0.64
    Activations Density 0.042%

    No Known Activations