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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 4822
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    INDEX
    Explanations

    adjectives or terms expressing extremity or intensity

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of intensity or extremity in various 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
    anders
    -0.79
    ploma
    -0.70
    ADS
    -0.66
    andering
    -0.65
    APH
    -0.65
    aden
    -0.64
    annis
    -0.64
    antics
    -0.64
    conservancy
    -0.63
    adr
    -0.61
    POSITIVE LOGITS
    ly
    2.89
    LY
    1.85
    liness
    1.41
    lys
    1.37
    fully
    1.33
    lies
    1.30
    ELY
    1.27
    edly
    1.20
    liest
    1.15
    ity
    1.09
    Activations Density 0.173%

    No Known Activations