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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. 12-RES-JB
    11. 5079
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    INDEX
    Explanations

    locations or points of interest mentioned

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    words related to placards and signage

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     disadvant
    -0.62
     scen
    -0.62
     Recomm
    -0.61
     Palestin
    -0.61
    folio
    -0.60
    icum
    -0.60
    thodox
    -0.58
    itud
    -0.58
    icals
    -0.58
     rall
    -0.58
    POSITIVE LOGITS
    ard
    1.08
    ards
    1.00
    yne
    0.88
    ate
    0.85
    cer
    0.79
    els
    0.76
    ental
    0.74
    enos
    0.68
    ep
    0.68
    ethe
    0.67
    Activations Density 0.097%

    No Known Activations