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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. 7-RES-JB
    11. 19048
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    Explanations

    words related to "athletes"

    oai_token-act-pair · gpt-3.5-turbo

    references to athletes and athleticism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ener
    -0.61
     Door
    -0.60
    arial
    -0.59
    relation
    -0.57
    unda
    -0.57
    door
    -0.57
    aghan
    -0.57
    flies
    -0.57
    irie
    -0.57
    term
    -0.56
    POSITIVE LOGITS
     athletes
    1.11
     Athlet
    1.06
     athlete
    1.05
     doping
    0.83
    lete
    0.81
     feder
    0.80
     endors
    0.77
     gymn
    0.76
    mma
    0.72
     athletics
    0.71
    Activations Density 0.047%

    No Known Activations