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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. 16990
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    INDEX
    Explanations

    references to blocking or unblocking users, particularly on social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "block" and its variations in a context related to technology and online platforms

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     reluct
    -0.71
     swear
    -0.71
    mble
    -0.70
    ATHER
    -0.67
    rouse
    -0.67
     semester
    -0.63
     UM
    -0.61
     clitor
    -0.61
     HUM
    -0.60
    NRS
    -0.60
    POSITIVE LOGITS
    buster
    1.09
    busters
    1.01
    chain
    1.00
    ers
    0.96
    block
    0.90
    edin
    0.89
    halla
    0.88
    folio
    0.82
    ades
    0.82
    quote
    0.82
    Activations Density 0.007%

    No Known Activations