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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1016
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    Explanations

    references to the town of Mesquite

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific cultural or geographical term

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Digest
    -0.61
    acies
    -0.61
    OUT
    -0.61
     Spit
    -0.60
    ishers
    -0.59
     routine
    -0.59
    Reviewer
    -0.59
     ASC
    -0.58
    ICE
    -0.58
    ists
    -0.57
    POSITIVE LOGITS
    quite
    1.41
    opot
    1.30
    hing
    1.05
    hed
    1.02
    olithic
    1.00
    hes
    0.95
    omorphic
    0.95
    nil
    0.94
    meric
    0.93
    omorph
    0.92
    Activations Density 0.060%

    No Known Activations