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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. 12334
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    Explanations

    references to photography and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to photography or photonic technologies

    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
     Spoon
    -0.72
     Forbidden
    -0.70
     caution
    -0.69
     Paragu
    -0.69
     Burger
    -0.67
     Rutherford
    -0.66
     Fargo
    -0.66
     Nug
    -0.65
     Carnegie
    -0.64
     Monte
    -0.64
    POSITIVE LOGITS
    oshop
    1.41
    oreal
    1.28
    obook
    1.22
    ographs
    1.18
    ochemical
    1.16
    ogram
    1.15
    odynamic
    1.15
    ometry
    1.14
    ographers
    1.12
    ocard
    1.12
    Activations Density 0.020%

    No Known Activations