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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. 4-RES-JB
    11. 6578
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    Explanations

    descriptions related to photographers and their work

    oai_token-act-pair · gpt-3.5-turbo

    references to photographers and their work

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

    No Comments

    Negative Logits
    inence
    -0.70
    hurst
    -0.69
    ulhu
    -0.68
    adder
    -0.68
    minster
    -0.68
    brace
    -0.68
    reme
    -0.67
    ricular
    -0.67
    road
    -0.66
    eem
    -0.65
    POSITIVE LOGITS
     photographers
    1.27
     Photographer
    1.22
     photographer
    1.18
     photograp
    0.98
     galleries
    0.98
    ynthesis
    0.96
     photography
    0.94
     Phot
    0.91
     photographed
    0.91
     gallery
    0.90
    Activations Density 0.016%

    No Known Activations