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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. 10-RES-JB
    6. 20780
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    Explanations

    terms related to furniture or bedding

    oai_token-act-pair · gpt-3.5-turbo

    references to beds and bedding-related items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arily
    -0.75
    İĭ
    -0.66
     Voters
    -0.62
    awaru
    -0.61
     sourcing
    -0.61
     delegated
    -0.60
     CI
    -0.59
     Galile
    -0.59
     lockout
    -0.58
    andum
    -0.57
    POSITIVE LOGITS
    ding
    1.47
    ridden
    1.35
    ded
    1.25
    spread
    1.24
    stead
    1.20
    side
    1.15
    sheets
    1.13
    lam
    1.12
    rock
    1.12
    sheet
    1.08
    Activations Density 0.032%

    No Known Activations