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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. 7373
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    Explanations

    dates mentioned in context

    oai_token-act-pair · gpt-3.5-turbo

    years and significant dates within the text

    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
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    Negative Logits
    Reloaded
    -0.63
    amins
    -0.59
     plur
    -0.58
     verbs
    -0.58
     superflu
    -0.58
     manifold
    -0.56
    offs
    -0.55
     fam
    -0.54
     categ
    -0.53
    izations
    -0.53
    POSITIVE LOGITS
    isSpecialOrderable
    0.72
    lez
    0.69
    displayText
    0.67
    .,
    0.66
    burgh
    0.65
    âĢ²
    0.64
     Became
    0.63
     Miko
    0.63
    JD
    0.61
    ramid
    0.60
    Activations Density 0.082%

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