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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. 11167
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    INDEX
    Explanations

    mentions of physical locations or areas

    oai_token-act-pair · gpt-3.5-turbo

    locations and settings relevant to narratives or performances

    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
    Not in Any Lists

    No Comments

    Negative Logits
    laus
    -0.64
    orically
    -0.63
    ategory
    -0.60
    auts
    -0.60
     ON
    -0.58
    onal
    -0.58
    pell
    -0.58
    ortium
    -0.57
    enne
    -0.57
     pneum
    -0.57
    POSITIVE LOGITS
     basis
    1.11
     occasions
    1.06
     behalf
    0.95
     doorstep
    0.90
     occasion
    0.87
     shelf
    0.86
     periphery
    0.85
     eve
    0.82
     pedest
    0.81
     shelves
    0.79
    Activations Density 0.451%

    No Known Activations