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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 13267
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    INDEX
    Explanations

    phrases related to positive and negative fluctuations or changes

    oai_token-act-pair · gpt-3.5-turbo

    references to positive experiences or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Geneva
    -0.74
    ب
    -0.73
     CODE
    -0.73
    Metal
    -0.71
    EVA
    -0.70
     Martian
    -0.69
     Persian
    -0.69
     Galile
    -0.65
    ãĥĵ
    -0.64
    士
    -0.64
    POSITIVE LOGITS
     ups
    1.23
    undown
    1.07
    dates
    1.02
    stairs
    1.02
     veter
    0.89
    icult
    0.88
    uits
    0.86
    ets
    0.85
    iques
    0.84
    terness
    0.84
    Activations Density 0.006%

    No Known Activations