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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. 3-RES-JB
    11. 4244
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of dates in the format of "MM/DD"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ailability
    -0.85
    awaru
    -0.84
     exha
    -0.83
    inventoryQuantity
    -0.80
     teasp
    -0.76
    senal
    -0.76
    ñ
    -0.76
    ierrez
    -0.75
     hemor
    -0.74
    ocene
    -0.72
    POSITIVE LOGITS
    01
    1.07
    000000
    1.02
    03
    1.01
    09
    0.99
    07
    0.97
    05
    0.96
    02
    0.95
    0100
    0.93
    06
    0.93
    08
    0.91
    Activations Density 0.013%

    No Known Activations