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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. 9-RES-JB
    11. 20184
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    Explanations

    references to heat-related concepts or items

    oai_token-act-pair · gpt-3.5-turbo

    references to heat in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Goff
    -0.75
    VICE
    -0.74
     Mandela
    -0.71
    ournal
    -0.70
    lus
    -0.67
    ocument
    -0.67
    ufact
    -0.65
    allery
    -0.65
    ffic
    -0.64
     Abrams
    -0.62
    POSITIVE LOGITS
    hens
    1.31
    seekers
    1.15
    wave
    1.11
    waves
    1.09
    stroke
    1.06
    hen
    0.98
     oven
    0.89
     exch
    0.87
    heat
    0.86
     exhaustion
    0.86
    Activations Density 0.048%

    No Known Activations