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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. 3-RES-JB
    11. 21010
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    Explanations

    words related to winning or achievement

    oai_token-act-pair · gpt-3.5-turbo

    references to victories in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     notor
    -0.66
    UCT
    -0.66
     pores
    -0.65
     livest
    -0.65
    hemy
    -0.65
    venants
    -0.64
    effic
    -0.63
    umn
    -0.62
    electric
    -0.62
    asus
    -0.61
    POSITIVE LOGITS
     victory
    0.86
     defeat
    0.83
    Sham
    0.80
     defeats
    0.79
     victories
    0.79
    stroke
    0.75
    fare
    0.74
    enance
    0.73
     vict
    0.72
    bringer
    0.72
    Activations Density 0.016%

    No Known Activations