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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. 23206
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    Explanations

    phrases related to research findings or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    references to outcomes or findings

    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
    resent
    -0.79
     actionGroup
    -0.71
     Passage
    -0.70
    pton
    -0.69
     Roots
    -0.67
    agine
    -0.66
    conservancy
    -0.64
    erness
    -0.63
    kov
    -0.63
    tre
    -0.61
    POSITIVE LOGITS
    ively
    0.81
    iveness
    0.78
     results
    0.78
    aries
    0.76
    ivity
    0.74
    results
    0.74
    iments
    0.73
    oys
    0.72
     obtained
    0.68
     thereof
    0.67
    Activations Density 0.043%

    No Known Activations