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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. 23812
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to technology and innovation

    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
    lain
    -1.09
    lined
    -0.85
    spin
    -0.79
    detail
    -0.69
    lines
    -0.69
    rooms
    -0.67
    liest
    -0.67
    look
    -0.67
    nets
    -0.66
    tan
    -0.66
    POSITIVE LOGITS
    Äĩ
    1.15
    orno
    1.07
    hei
    0.99
    ère
    0.96
    plom
    0.95
    Ti
    0.92
    abetes
    0.91
    cci
    0.88
    endo
    0.87
    ÃŁ
    0.86
    Activations Density 0.024%

    No Known Activations