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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. 7-RES-JB
    11. 8775
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    Explanations

    numeric values expressed in miles or depth

    oai_token-act-pair · gpt-3.5-turbo

    sentences that depict significant statements or conclusions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     randomly
    -0.75
     vag
    -0.71
     manual
    -0.69
     zo
    -0.67
    RECT
    -0.67
    vag
    -0.67
    plet
    -0.66
     meal
    -0.65
     explan
    -0.64
     ESV
    -0.63
    POSITIVE LOGITS
     Yet
    1.14
     Nonetheless
    1.07
     Moreover
    1.04
     Worse
    1.02
     Indeed
    1.02
     Meanwhile
    1.02
     Nevertheless
    1.02
     Such
    0.95
    Yet
    0.94
     Perhaps
    0.94
    Activations Density 0.524%

    No Known Activations