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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. 10-RES-JB
    11. 1202
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    Explanations

    different genres of media

    oai_token-act-pair · gpt-3.5-turbo

    references to various genres

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adra
    -0.82
    loo
    -0.74
    ividual
    -0.73
     Lumpur
    -0.71
     Bean
    -0.69
     Mald
    -0.68
    urion
    -0.68
    owicz
    -0.68
    aukee
    -0.67
    iny
    -0.64
    POSITIVE LOGITS
     specialization
    0.79
    genre
    0.78
     fascinated
    0.78
     disciplines
    0.77
     pioneered
    0.77
     genres
    0.77
     fasc
    0.75
    bending
    0.75
    ically
    0.75
     genre
    0.73
    Activations Density 0.113%

    No Known Activations