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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. 7-RES-JB
    11. 24099
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    Explanations

    phrases related to declines or changes in a situation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic fluctuations and trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    racuse
    -0.70
    flix
    -0.68
    urally
    -0.67
    DN
    -0.65
    inav
    -0.63
    ove
    -0.63
    ateurs
    -0.62
    ictionary
    -0.62
    unts
    -0.62
    Family
    -0.62
    POSITIVE LOGITS
    ipolar
    0.99
     fortunes
    0.79
     slump
    0.79
     tides
    0.77
     tide
    0.76
     turbulence
    0.76
    luster
    0.76
     havoc
    0.73
     recession
    0.72
    INESS
    0.72
    Activations Density 0.331%

    No Known Activations