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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. 11-RES-JB
    11. 2443
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    Explanations

    terms related to strong emotions of affection or liking

    oai_token-act-pair · gpt-3.5-turbo

    expressions of affection or enjoyment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.80
     presumption
    -0.71
    ozo
    -0.65
    iop
    -0.62
    odan
    -0.58
     provisional
    -0.58
     Priest
    -0.55
    rooms
    -0.54
    grim
    -0.54
     prol
    -0.52
    POSITIVE LOGITS
     dearly
    1.45
     uncond
    1.09
     passionately
    0.99
     immensely
    0.99
    more
    0.83
     intimately
    0.82
     deeply
    0.82
     enough
    0.80
    Favorite
    0.80
     fond
    0.80
    Activations Density 0.112%

    No Known Activations