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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. 144
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references or citations in text

    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
    soever
    -0.79
    apon
    -0.68
    UME
    -0.62
    hene
    -0.61
    Sphere
    -0.59
    EVA
    -0.59
    Mars
    -0.59
     deg
    -0.59
    thood
    -0.59
    Ops
    -0.57
    POSITIVE LOGITS
     similarities
    0.89
     preced
    0.86
     precedent
    0.83
     shortcomings
    0.77
     sources
    0.76
     plight
    0.76
     caution
    0.75
     similarity
    0.75
     caveat
    0.75
     quotation
    0.74
    Activations Density 0.461%

    No Known Activations