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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. 8-RES-JB
    11. 23880
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     respectively
    -0.68
    $.
    -0.67
    ".
    -0.65
    .</
    -0.63
     thereof
    -0.62
    EStreamFrame
    -0.62
     therein
    -0.62
    ]."
    -0.61
    )."
    -0.61
     ".
    -0.57
    POSITIVE LOGITS
    prisingly
    0.55
    reenshots
    0.52
    ĺ
    0.52
    notations
    0.51
    vez
    0.50
    ctive
    0.49
    ī
    0.48
    resy
    0.48
    anan
    0.47
    endum
    0.46
    Activations Density 1.834%

    No Known Activations