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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. 5017
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    Explanations

    proper nouns related to educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific universities and institutions

    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
    CAST
    -0.75
    casting
    -0.74
    draw
    -0.74
    generic
    -0.71
    ĪĴ
    -0.71
    planes
    -0.70
    pport
    -0.69
    к
    -0.68
     Sanskrit
    -0.67
    jah
    -0.66
    POSITIVE LOGITS
     Mercer
    1.00
     Island
    0.84
    itus
    0.79
    enaries
    0.76
    andise
    0.76
    burgh
    0.75
     Finch
    0.75
    field
    0.73
    espie
    0.69
    lees
    0.68
    Activations Density 0.009%

    No Known Activations