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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. 9-RES-JB
    11. 17927
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    Explanations

    JavaScript-related content or prompts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of JavaScript and related web technologies

    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
    fam
    -0.77
    hip
    -0.73
    joy
    -0.64
     orig
    -0.63
     Demons
    -0.62
    gling
    -0.60
    ogy
    -0.60
    hof
    -0.60
    mount
    -0.59
    liest
    -0.59
    POSITIVE LOGITS
    taboola
    0.87
     Javascript
    0.86
     isEnabled
    0.77
    allery
    0.76
     Detected
    0.67
    ERE
    0.67
    iframe
    0.66
    INGTON
    0.65
     censorship
    0.65
    illac
    0.64
    Activations Density 0.019%

    No Known Activations