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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. 14651
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    Explanations

    references to adding items to a list or collection

    oai_token-act-pair · gpt-3.5-turbo

    references to lists, additions, or inclusions in contexts

    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
    hots
    -0.75
    fw
    -0.71
    vier
    -0.67
    anners
    -0.66
    rand
    -0.65
    ptives
    -0.65
    imei
    -0.65
    actionDate
    -0.64
    aji
    -0.64
    Ô
    -0.64
    POSITIVE LOGITS
     fray
    1.17
     repertoire
    1.08
     list
    1.06
     equation
    1.02
     ranks
    0.97
     arsenal
    0.96
     mix
    0.94
     pile
    0.92
     existing
    0.91
     coffers
    0.89
    Activations Density 0.197%

    No Known Activations