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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. 18870
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    INDEX
    Explanations

    references to research papers and scientific publications

    oai_token-act-pair · gpt-3.5-turbo

    references to scholarly papers

    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
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    No Comments

    Negative Logits
    cffff
    -0.78
    cffffcc
    -0.75
    Ģ
    -0.65
    iak
    -0.64
    yg
    -0.62
     voic
    -0.61
     Harmony
    -0.60
     destro
    -0.59
     wrath
    -0.59
    complex
    -0.58
    POSITIVE LOGITS
    clip
    0.94
    papers
    0.87
    Paper
    0.84
     towels
    0.80
    marks
    0.78
    books
    0.76
    itatively
    0.76
    velop
    0.75
    doctoral
    0.74
     titled
    0.73
    Activations Density 0.026%

    No Known Activations