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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. 3655
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    INDEX
    Explanations

    phrases where two elements are constantly alternating

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and prepositions connecting various phrases

    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
     Bundy
    -0.69
     Buk
    -0.68
     Signal
    -0.66
     Applicant
    -0.65
     Tile
    -0.64
     TAMADRA
    -0.63
     Slug
    -0.63
     Chill
    -0.63
     Nap
    -0.62
     Carth
    -0.61
    POSITIVE LOGITS
    selves
    1.23
    theless
    1.16
    redients
    1.05
    vernment
    1.00
    terday
    0.96
    fore
    0.95
    rontal
    0.91
    have
    0.89
    wards
    0.88
    ilogy
    0.87
    Activations Density 0.179%

    No Known Activations