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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    adjectives expressing strong negativity

    oai_token-act-pair · gpt-3.5-turbo

    the word "awful" and related expressions of negativity or dissatisfaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VO
    -0.96
    tein
    -0.88
    PT
    -0.82
    cius
    -0.82
    pai
    -0.77
    Lago
    -0.73
    trl
    -0.73
    cript
    -0.72
    zinski
    -0.71
    ACP
    -0.71
    POSITIVE LOGITS
     awful
    1.01
    nesses
    0.89
     traged
    0.88
     adolesc
    0.87
     dreadful
    0.84
     smelling
    0.82
    ness
    0.82
     darn
    0.82
     conflic
    0.82
     horrible
    0.81
    Activations Density 0.015%

    No Known Activations