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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. 4289
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    Explanations

    predictions or estimations about future outcomes

    oai_token-act-pair · gpt-3.5-turbo
    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
    cession
    -0.73
    ppo
    -0.62
    noticed
    -0.61
    kay
    -0.59
    orget
    -0.59
    ateurs
    -0.58
    rosse
    -0.58
    estern
    -0.58
    merce
    -0.57
    ipop
    -0.56
    POSITIVE LOGITS
     to
    0.90
    to
    0.74
     likely
    0.71
    iant
    0.67
     capable
    0.66
    ivalent
    0.66
     destined
    0.65
     Cosponsors
    0.61
    ELF
    0.60
     TO
    0.60
    Activations Density 0.348%

    No Known Activations