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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. 4-RES-JB
    11. 18522
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    INDEX
    Explanations

    negative emotions and attitudes, particularly feelings of resentment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of resentment and related concepts

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

    No Comments

    Negative Logits
    pread
    -0.70
    ramid
    -0.70
    aiman
    -0.70
    gow
    -0.66
    cius
    -0.65
    andel
    -0.65
    omed
    -0.65
    animous
    -0.64
    erm
    -0.63
    otation
    -0.63
    POSITIVE LOGITS
    nant
    0.79
     recal
    0.75
     resent
    0.73
     resentment
    0.67
    Dialogue
    0.67
    encies
    0.65
    ldom
    0.65
     unrecogn
    0.63
    ty
    0.62
    mented
    0.61
    Activations Density 0.021%

    No Known Activations