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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. 10-RES-JB
    11. 3416
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rit
    -0.79
    bis
    -0.76
    oÄŁ
    -0.72
    =-=-=-=-=-=-=-=-
    -0.69
    =-=-=-=-
    -0.69
    _-
    -0.69
    mpeg
    -0.67
    ached
    -0.67
    die
    -0.66
    cember
    -0.66
    POSITIVE LOGITS
     dots
    1.24
     disparate
    1.17
     together
    0.94
     them
    0.90
     apples
    0.86
     two
    0.81
     seamlessly
    0.81
     sexes
    0.80
     elements
    0.76
     oppos
    0.74
    Activations Density 0.123%

    No Known Activations