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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. 3616
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    Explanations

    sports teams and players finishing seasons or games with high rankings or achievements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "finished" in various contexts

    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
    hee
    -0.71
    uristic
    -0.69
    esis
    -0.68
    arse
    -0.68
    eday
    -0.66
    orum
    -0.65
    steps
    -0.65
    Origin
    -0.65
    ighters
    -0.64
    gravity
    -0.64
    POSITIVE LOGITS
    nces
    0.83
     runner
    0.77
    ãĤ¤ãĥĪ
    0.76
     undefeated
    0.70
    ŃĶ
    0.68
     unbeaten
    0.68
     Pradesh
    0.66
     Runner
    0.66
     receiving
    0.65
     College
    0.64
    Activations Density 0.018%

    No Known Activations