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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. 24463
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    INDEX
    Explanations

    mentions of specific years, such as in a historical or sports context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and time periods

    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
    bara
    -0.78
    Panel
    -0.74
     Cosponsors
    -0.73
    zsche
    -0.73
    insula
    -0.72
     Faw
    -0.71
    anguage
    -0.71
    ansk
    -0.71
    anamo
    -0.70
     encl
    -0.70
    POSITIVE LOGITS
     rookie
    1.07
     undrafted
    1.06
     Rookie
    1.06
     rookies
    1.03
     preseason
    1.02
     offseason
    1.00
     playoff
    0.99
     playoffs
    0.98
    Coach
    0.98
     quarterbacks
    0.96
    Activations Density 0.174%

    No Known Activations