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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. 11-RES-JB
    11. 24537
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    Explanations

    phrases related to sports statistics, player performance, and game situations

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.68
     ministerial
    -0.68
    anium
    -0.68
    xual
    -0.68
    arching
    -0.63
    minist
    -0.63
     causal
    -0.62
    reprene
    -0.62
    license
    -0.62
    ritical
    -0.60
    POSITIVE LOGITS
     Romo
    0.90
     Cousins
    0.90
     he
    0.88
     Belichick
    0.86
     Giov
    0.85
     Manziel
    0.84
     Hernandez
    0.84
     though
    0.83
     Kaepernick
    0.83
     however
    0.82
    Activations Density 0.259%

    No Known Activations