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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. 0-RES-JB
    11. 7887
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    Explanations

    adjective-noun pairs where the noun relates to a strong, generally negative, physical reaction or symptom

    oai_token-act-pair · gpt-3.5-turbo

    words related to strong emotions or reactions, particularly those signaling disgust or aversion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Alec
    -0.68
     reproduction
    -0.67
     Ian
    -0.66
     parody
    -0.65
     Meow
    -0.65
     dated
    -0.64
     referencing
    -0.63
     CASE
    -0.61
     Base
    -0.61
    core
    -0.60
    POSITIVE LOGITS
    uls
    4.57
    ulsion
    2.32
    ulse
    1.93
    ulsive
    1.65
    ul
    1.56
    UL
    1.34
    ulin
    1.21
    uli
    1.12
    ull
    1.11
    ulous
    1.09
    Activations Density 0.010%

    No Known Activations