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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. 18681
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    Explanations

    words indicating a lead or advantage in a competitive context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to scoring or maintaining a lead in sports or competitive contexts

    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
     concess
    -0.73
     ghetto
    -0.66
    cise
    -0.64
    ramid
    -0.64
    rehensive
    -0.63
    Sov
    -0.62
    paio
    -0.61
    negie
    -0.60
     indict
    -0.59
    afort
    -0.59
    POSITIVE LOGITS
    manship
    0.76
    leader
    0.72
    off
    0.71
     scorer
    0.71
    rush
    0.68
    hunter
    0.68
    BAT
    0.67
    watch
    0.66
     blocker
    0.66
    keeper
    0.66
    Activations Density 0.024%

    No Known Activations