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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. 16829
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to large or overwhelming concepts and structures

    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
    cel
    -0.69
    --+
    -0.65
    ����
    -0.64
    lection
    -0.63
    yl
    -0.63
    ĪĴ
    -0.62
     [+
    -0.61
    ILE
    -0.61
    NEY
    -0.60
    cers
    -0.60
    POSITIVE LOGITS
     sprawling
    0.90
     horizont
    0.81
     conglomer
    0.81
    ingly
    0.73
     neoc
    0.72
     unbeliev
    0.71
     shenan
    0.69
    halla
    0.68
     mammoth
    0.65
     inco
    0.65
    Activations Density 0.014%

    No Known Activations