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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. 6-RES-JB
    11. 20303
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    Explanations

    specific phrases or terms indicating completeness or totality

    oai_token-act-pair · gpt-3.5-turbo

    references to complete documents or comprehensive analyses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammers
    -0.70
     Morse
    -0.66
    zees
    -0.64
    Ń·
    -0.64
     Phi
    -0.64
     pige
    -0.64
    nikov
    -0.59
    gat
    -0.59
    ubi
    -0.59
     butterflies
    -0.59
    POSITIVE LOGITS
    ledged
    0.75
    Initialized
    0.73
    fledged
    0.71
     (>
    0.69
    pection
    0.68
    load
    0.61
    isites
    0.61
     functional
    0.61
    ngth
    0.60
    âĶĢâĶĢâĶĢâĶĢ
    0.60
    Activations Density 0.170%

    No Known Activations