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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. 7157
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    Explanations

    phrases indicating a high degree or quantity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a limit or threshold

    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
    hent
    -0.76
    croft
    -0.66
     ling
    -0.65
    Released
    -0.64
     Accessed
    -0.62
    Developer
    -0.61
     Cosponsors
    -0.61
     billed
    -0.60
    Äĩ
    -0.60
    Reviewed
    -0.60
    POSITIVE LOGITS
     pasture
    0.95
     compensate
    0.82
    ilet
    0.79
     satisfy
    0.78
     fight
    0.76
     accommodate
    0.75
    fu
    0.75
     defend
    0.75
     insure
    0.74
    pload
    0.74
    Activations Density 0.213%

    No Known Activations