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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. 8142
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    Explanations

    phrases related to streamlining and organizing processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases mentioning "line" with varying contextual implications

    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
    rum
    -0.74
    Reviewer
    -0.73
    uge
    -0.73
    HAEL
    -0.71
    ateurs
    -0.69
     Seym
    -0.68
    sburg
    -0.68
    rito
    -0.67
    rane
    -0.67
    rity
    -0.66
    POSITIVE LOGITS
    backer
    1.24
    lined
    1.05
    lines
    0.89
    lihood
    0.84
    breaks
    0.80
    line
    0.80
    lining
    0.74
    phrine
    0.74
    views
    0.70
     Lines
    0.68
    Activations Density 0.016%

    No Known Activations