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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. 8496
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    Explanations

    sports-related achievements and victories

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the end-of-text token or signify completion

    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
    ngth
    -0.84
    iaries
    -0.73
    cised
    -0.66
    IDER
    -0.64
    isine
    -0.63
     departures
    -0.62
     lapse
    -0.62
    Serv
    -0.62
    ÃįÃį
    -0.62
    onge
    -0.61
    POSITIVE LOGITS
     lottery
    0.87
    stakes
    0.82
     outright
    0.78
     Pulitzer
    0.76
     landslide
    0.72
     prize
    0.72
    tein
    0.70
     toss
    0.70
     virginity
    0.68
     prizes
    0.67
    Activations Density 0.134%

    No Known Activations