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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. 8-RES-JB
    11. 11973
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    INDEX
    Explanations

    words related to technology and historical figures

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to wonder and astonishment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     -------
    -0.64
    externalActionCode
    -0.63
    ridor
    -0.62
    ovo
    -0.62
    eneg
    -0.61
    egu
    -0.61
     testified
    -0.61
    yss
    -0.61
     cooperate
    -0.61
    itionally
    -0.60
    POSITIVE LOGITS
     hilar
    0.88
     indul
    0.87
     smug
    0.86
     bliss
    0.84
     sublime
    0.82
     quaint
    0.80
     faint
    0.80
     downright
    0.80
     sanity
    0.80
     pleasures
    0.80
    Activations Density 1.600%

    No Known Activations