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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. 24259
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    INDEX
    Explanations

    self-reflective statements expressing emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal emotions and feelings

    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
     Shutterstock
    -0.73
    adish
    -0.71
     Camer
    -0.71
    atile
    -0.69
     Secondly
    -0.68
    olesc
    -0.64
     Lann
    -0.64
     Spice
    -0.64
     Extras
    -0.61
     Display
    -0.61
    POSITIVE LOGITS
     comfortable
    0.93
     compelled
    0.87
     passionately
    0.83
     uneasy
    0.82
     vibrations
    0.78
     strongly
    0.78
    INGS
    0.77
     uncomfortable
    0.76
     nostalgic
    0.73
     feelings
    0.72
    Activations Density 0.037%

    No Known Activations