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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. 4-RES-JB
    11. 24110
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    Explanations

    mentions of "rookie" players in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "rookie" in various contexts related to sports

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

    No Comments

    Negative Logits
    cemic
    -0.81
    ombat
    -0.81
    orie
    -0.80
    uria
    -0.79
    nces
    -0.78
    illance
    -0.76
    ichick
    -0.76
    igation
    -0.74
    rary
    -0.74
    apo
    -0.74
    POSITIVE LOGITS
     rookies
    0.97
     rookie
    0.91
     Scouting
    0.79
    Kings
    0.71
     Rookie
    0.68
    hood
    0.67
     signings
    0.67
     quarterbacks
    0.66
     QB
    0.66
     slump
    0.63
    Activations Density 0.011%

    No Known Activations