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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. 8-RES-JB
    11. 8013
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    Explanations

    numerical quantities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "many" and related quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UAL
    -0.75
    anut
    -0.72
    icism
    -0.71
    ade
    -0.69
    atum
    -0.68
    istan
    -0.67
    agame
    -0.66
    acus
    -0.66
    OPE
    -0.66
    anything
    -0.65
    POSITIVE LOGITS
     times
    1.07
     facets
    1.05
     aspects
    0.95
    body
    0.93
     thousands
    0.92
     kinds
    0.87
     different
    0.87
     unanswered
    0.83
     occasions
    0.83
    fold
    0.82
    Activations Density 0.096%

    No Known Activations