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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. 7-RES-JB
    11. 2749
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    Explanations

    data or research findings

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "found" indicating research findings or results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arta
    -0.63
    scribe
    -0.59
    assisted
    -0.59
    awar
    -0.59
    loading
    -0.59
    brance
    -0.58
    cius
    -0.58
     gate
    -0.58
    press
    -0.57
    Trade
    -0.57
    POSITIVE LOGITS
     evidence
    0.79
     traces
    0.75
     conclusive
    0.71
    usky
    0.71
    -+-+
    0.70
     discrepancies
    0.70
    itutional
    0.69
    phas
    0.69
    ered
    0.68
     fertile
    0.66
    Activations Density 0.055%

    No Known Activations