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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. 6-RES-JB
    11. 23797
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    Explanations

    words related to failure or loss, especially in a competitive context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "defeat" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     liner
    -0.70
    ORPG
    -0.68
    orrow
    -0.68
    ridges
    -0.67
    entric
    -0.66
     pores
    -0.64
    redits
    -0.63
    oline
    -0.63
    ioch
    -0.62
    eport
    -0.61
    POSITIVE LOGITS
    vich
    0.88
    ingly
    0.82
    pport
    0.81
    enance
    0.78
     defeat
    0.75
     defeats
    0.74
    agi
    0.74
     Defeat
    0.73
    bite
    0.72
    strate
    0.71
    Activations Density 0.038%

    No Known Activations