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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
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical terminology and jargon related to online platforms and media

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ĨĴ
    -0.88
    edIn
    -0.85
    onite
    -0.83
    isec
    -0.82
     warr
    -0.81
    lisher
    -0.76
    esi
    -0.76
    ean
    -0.75
    etically
    -0.74
    orius
    -0.73
    POSITIVE LOGITS
    oute
    0.79
    crow
    0.71
    claw
    0.64
    riage
    0.63
    udence
    0.63
    ANGE
    0.63
    916
    0.63
    utic
    0.63
    uality
    0.63
    nd
    0.62
    Activations Density 0.043%

    No Known Activations