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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. 8833
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    Explanations

    numbers above 100 in the text

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, specifically concerning counts, measurements, or statistics

    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
    glas
    -0.77
    yer
    -0.76
    frey
    -0.71
    ãĤ©
    -0.71
    gart
    -0.70
    ingham
    -0.70
    ding
    -0.69
    cision
    -0.65
    ports
    -0.65
    illusion
    -0.65
    POSITIVE LOGITS
     ILCS
    0.96
    xual
    0.92
    dayName
    0.82
    cffff
    0.74
     chars
    0.71
    olini
    0.70
    ansas
    0.68
    daq
    0.67
    hap
    0.67
    CRIP
    0.67
    Activations Density 0.022%

    No Known Activations