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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. 1-RES-JB
    11. 8881
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    Explanations

    references to photography

    oai_token-act-pair · gpt-3.5-turbo

    references to photography

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pron
    -0.69
    sei
    -0.69
    lez
    -0.68
    lex
    -0.67
    clus
    -0.67
    bern
    -0.66
    ste
    -0.63
    lower
    -0.62
     CFR
    -0.62
    ressive
    -0.62
    POSITIVE LOGITS
     photography
    1.44
     photographers
    1.21
     Photography
    1.16
    ynthesis
    1.15
     photograp
    1.11
     photographic
    1.04
     Photographer
    1.03
     galleries
    1.02
     photographer
    1.00
     photographed
    0.99
    Activations Density 0.012%

    No Known Activations