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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. 11375
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    Explanations

    words related to intentional planning or creation

    oai_token-act-pair · gpt-3.5-turbo

    references to design-related concepts and discussions

    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
     Staples
    -0.71
    Sharp
    -0.70
    Redd
    -0.67
    Sense
    -0.67
     Syl
    -0.66
     luc
    -0.66
     Standing
    -0.63
     Stain
    -0.60
    XP
    -0.59
     Ald
    -0.58
    POSITIVE LOGITS
    ations
    0.87
    ating
    0.86
    yout
    0.81
    ators
    0.80
    ays
    0.75
    ifier
    0.73
    geries
    0.73
    ayne
    0.73
    urat
    0.73
    idad
    0.72
    Activations Density 0.035%

    No Known Activations