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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. 8-RES-JB
    11. 1745
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    Explanations

    expressions of strong emotional affection and attachment

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to falling in love

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iliary
    -0.75
    CLA
    -0.72
    nea
    -0.71
    redo
    -0.68
    ctive
    -0.66
    signed
    -0.65
    houses
    -0.64
    eed
    -0.63
    sylv
    -0.63
    wcs
    -0.61
    POSITIVE LOGITS
     Pieces
    0.75
    én
    0.73
     Pigs
    0.72
    BuyableInstoreAndOnline
    0.72
    haps
    0.70
     deaf
    0.70
     curve
    0.69
    opian
    0.67
    erest
    0.65
     Haku
    0.64
    Activations Density 0.112%

    No Known Activations