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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. 4-RES-JB
    11. 12087
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    Explanations

    patterns of hexadecimal characters and some programming code constructs

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical patterns or identifiers

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

    No Comments

    Negative Logits
    maid
    -0.79
    awaru
    -0.77
     Pru
    -0.74
    zona
    -0.74
    DERR
    -0.74
    kamp
    -0.71
     Garry
    -0.70
     "$:/
    -0.69
    rawdownloadcloneembedreportprint
    -0.68
    ãĥĦ
    -0.66
    POSITIVE LOGITS
    reme
    0.87
    avier
    0.86
    terday
    0.83
    posed
    0.83
    cb
    0.83
    aminer
    0.81
    oid
    0.80
    86
    0.78
    actly
    0.75
    args
    0.75
    Activations Density 0.021%

    No Known Activations