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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. 13688
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    mble
    -0.64
    ãĥ¼ãĥĨ
    -0.63
    inki
    -0.60
     Enhancement
    -0.59
    visor
    -0.58
    erella
    -0.58
     Perspect
    -0.57
     Pwr
    -0.54
    rane
    -0.54
    udic
    -0.54
    POSITIVE LOGITS
     whatsoever
    1.14
    onsense
    0.85
    hawk
    0.79
    mber
    0.77
    urnal
    0.70
    brainer
    0.68
    oway
    0.68
    ody
    0.67
     nor
    0.66
    */(
    0.64
    Activations Density 0.141%

    No Known Activations