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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. 4658
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    Explanations

    mentions of individuals along with their demographic information

    oai_token-act-pair · gpt-3.5-turbo

    present tense and past tense forms of the verb "to be."

    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
    ridges
    -0.79
    ometers
    -0.74
    ivable
    -0.73
    oire
    -0.72
    ettings
    -0.71
    snap
    -0.71
     clich
    -0.71
     Guys
    -0.70
    #$#$
    -0.70
    okes
    -0.69
    POSITIVE LOGITS
     visiting
    0.95
     formerly
    0.90
     stationed
    0.89
     supposed
    0.84
     overseeing
    0.82
     travelling
    0.82
     presiding
    0.82
     pregnant
    0.80
     attending
    0.80
     touring
    0.80
    Activations Density 0.189%

    No Known Activations