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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. 1-RES-JB
    11. 7364
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    INDEX
    Explanations

    mentions of subtle actions or events

    oai_token-act-pair · gpt-3.5-turbo

    words related to relaxation or settling down

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omes
    -0.75
    ioch
    -0.73
    Þ
    -0.73
    ß
    -0.68
     largeDownload
    -0.68
    uries
    -0.68
    ĪĴ
    -0.67
    ħĭ
    -0.66
     isol
    -0.65
    hemy
    -0.65
    POSITIVE LOGITS
    tle
    1.54
    butt
    1.16
    mont
    0.95
    mouth
    0.91
    fish
    0.89
    estones
    0.87
    bum
    0.84
    brates
    0.84
    estone
    0.84
    bridge
    0.84
    Activations Density 0.006%

    No Known Activations