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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. 1-RES-JB
    11. 11574
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    Explanations

    numerical figures related to locations or quantities, particularly ones in the format [number]<tab>[number]

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers or codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.96
    pper
    -0.84
    phone
    -0.77
    bid
    -0.74
    bear
    -0.73
    glas
    -0.73
    morning
    -0.73
    puter
    -0.72
    present
    -0.72
    ple
    -0.71
    POSITIVE LOGITS
    wcsstore
    0.97
     ILCS
    0.83
    ÃįÃį
    0.82
     SERV
    0.74
    REAM
    0.73
    escription
    0.71
    AMP
    0.70
     Blackwell
    0.70
     msec
    0.69
     Squadron
    0.69
    Activations Density 0.018%

    No Known Activations