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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. 10-RES-JB
    11. 1190
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    INDEX
    Explanations

    numerals indicating a specific quantity or time reference

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of numerical values, particularly those related to age or quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Activity
    -0.65
    etter
    -0.62
    DH
    -0.60
    ding
    -0.59
    lr
    -0.59
     Caption
    -0.59
    itsch
    -0.58
    dds
    -0.57
    akening
    -0.57
    etting
    -0.57
    POSITIVE LOGITS
    eight
    1.14
     thousand
    1.14
    something
    1.14
    five
    1.09
    Eight
    1.06
    seven
    1.02
    four
    1.02
     sixty
    0.97
    nine
    0.96
     eighty
    0.95
    Activations Density 0.042%

    No Known Activations