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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. 8-RES-JB
    11. 12780
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    Explanations

    instances of contrasting statements

    oai_token-act-pair · gpt-3.5-turbo

    the word "but" indicating contrast in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rush
    -0.79
    roy
    -0.79
    obyl
    -0.74
    inning
    -0.72
    abilities
    -0.71
    oys
    -0.71
    ands
    -0.69
    esc
    -0.69
    pron
    -0.69
    士
    -0.67
    POSITIVE LOGITS
     nonetheless
    0.98
     nevertheless
    0.95
     alas
    0.94
     luckily
    0.94
     fortunately
    0.93
     retains
    0.90
     beware
    0.85
     thankfully
    0.84
     still
    0.82
    tons
    0.82
    Activations Density 0.162%

    No Known Activations