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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. 12764
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    Explanations

    phrases related to walking or locations where walking occurs

    oai_token-act-pair · gpt-3.5-turbo

    references to walking or walkable areas

    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
    encies
    -0.75
     circumstance
    -0.71
     alloy
    -0.71
    nces
    -0.68
     pressures
    -0.68
    milo
    -0.67
     redacted
    -0.66
    cffff
    -0.65
    anyahu
    -0.65
    illian
    -0.65
    POSITIVE LOGITS
    through
    1.16
    about
    1.11
    abouts
    1.00
    ways
    0.98
    ers
    0.97
    away
    0.97
    er
    0.93
    athon
    0.89
    walking
    0.88
    own
    0.86
    Activations Density 0.033%

    No Known Activations