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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. 4713
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    Explanations

    terms related to action or activity

    oai_token-act-pair · gpt-3.5-turbo

    tokens related to "action" content or themes

    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
    gling
    -0.73
    thening
    -0.63
    gins
    -0.63
    DAQ
    -0.63
    conservancy
    -0.62
    mining
    -0.62
    aez
    -0.60
    YL
    -0.60
    say
    -0.59
    thia
    -0.59
    POSITIVE LOGITS
    ivated
    0.96
    able
    0.96
     Replay
    0.85
    ives
    0.78
    ivation
    0.78
    ivism
    0.77
     verbs
    0.77
    anches
    0.77
    figure
    0.76
    igraph
    0.76
    Activations Density 0.036%

    No Known Activations