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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. 11-RES-JB
    11. 11448
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    Explanations

    references related to photography and digital imaging

    oai_token-act-pair · gpt-3.5-turbo

    words related to photography or photonics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Heights
    -0.67
     Stra
    -0.64
     caution
    -0.62
     Fargo
    -0.61
     Paragu
    -0.61
     loos
    -0.61
     loose
    -0.60
     Rapids
    -0.60
     Rutherford
    -0.59
     sorely
    -0.59
    POSITIVE LOGITS
    oshop
    1.48
    obook
    1.36
    oreal
    1.35
    ographs
    1.33
    osh
    1.27
    ocard
    1.27
    ograph
    1.24
    ograp
    1.22
    otypes
    1.22
    ographers
    1.22
    Activations Density 0.025%

    No Known Activations