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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. 9-RES-JB
    11. 5502
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    INDEX
    Explanations

    instances of the word "many"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "many."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agame
    -0.76
    UAL
    -0.76
    icism
    -0.74
    anut
    -0.68
    istan
    -0.64
    aline
    -0.62
    OPE
    -0.62
    ESE
    -0.62
     fixation
    -0.61
    assembly
    -0.61
    POSITIVE LOGITS
     facets
    1.16
     times
    1.05
     aspects
    1.01
     kinds
    1.00
     thousands
    0.99
     different
    0.94
    fold
    0.93
     types
    0.87
     iterations
    0.86
    body
    0.84
    Activations Density 0.090%

    No Known Activations