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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. 3-RES-JB
    11. 18179
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    INDEX
    Explanations

    phrases related to intense or critical situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bout" and its variations in relation to struggles or competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    operated
    -0.71
     Roads
    -0.68
     Schiff
    -0.67
     Kad
    -0.67
    SOURCE
    -0.66
     WARN
    -0.64
    OTT
    -0.63
    perse
    -0.61
     sacked
    -0.60
    Ħ¢
    -0.59
    POSITIVE LOGITS
    iques
    1.21
     bout
    1.14
     bouts
    0.95
    cakes
    0.86
    ique
    0.84
    tone
    0.82
     Bout
    0.79
    eson
    0.78
    igraph
    0.77
    fort
    0.77
    Activations Density 0.010%

    No Known Activations