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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. 11254
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    Explanations

    terms related to hockey leagues and associations

    oai_token-act-pair · gpt-3.5-turbo

    references to the sport of hockey

    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
    uble
    -0.63
    atche
    -0.62
    AY
    -0.62
    vt
    -0.61
    raised
    -0.60
    por
    -0.60
    chin
    -0.60
     ease
    -0.60
     manned
    -0.59
     bip
    -0.59
    POSITIVE LOGITS
     Writers
    1.02
     League
    0.87
     Federation
    0.85
     Prospect
    0.79
     Outs
    0.77
     league
    0.76
     Playoff
    0.75
     Abstract
    0.75
     Gods
    0.74
     Reference
    0.73
    Activations Density 0.060%

    No Known Activations