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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. 3-RES-JB
    11. 5240
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    Explanations

    words related to syllables

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ll" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.85
     guiActiveUn
    -0.85
    */(
    -0.84
    ItemTracker
    -0.77
    lished
    -0.74
    ¥ŀ
    -0.72
    displayText
    -0.71
    boards
    -0.65
    ãĥ¯ãĥ³
    -0.65
    cknow
    -0.65
    POSITIVE LOGITS
    oyd
    1.33
    ounge
    1.05
    uminati
    0.98
    uci
    0.96
    inois
    0.94
    ows
    0.94
    owship
    0.91
    umi
    0.90
    ices
    0.90
    ibrary
    0.89
    Activations Density 0.023%

    No Known Activations