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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. 8-RES-JB
    11. 696
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    Explanations

    proper nouns related to people and places

    oai_token-act-pair · gpt-3.5-turbo

    entities and components related to sports and athletic events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     decomp
    -0.63
     envelope
    -0.63
     transc
    -0.63
     FANT
    -0.61
     segment
    -0.60
     reproduction
    -0.60
     lifestyle
    -0.59
     bookmark
    -0.59
     advisory
    -0.59
     envelop
    -0.59
    POSITIVE LOGITS
    ship
    1.02
    ski
    0.93
    tre
    0.92
    tu
    0.90
    ña
    0.89
    vic
    0.88
    s
    0.88
    sure
    0.87
    ï¸ı
    0.87
    tion
    0.87
    Activations Density 0.248%

    No Known Activations