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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. 12252
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    Explanations

    non-textual elements, such as symbols or special characters

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of numerical data or specific statistical references

    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
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    No Comments

    Negative Logits
    aturdays
    -0.67
    abouts
    -0.67
    omething
    -0.66
    bourg
    -0.66
     Photograph
    -0.64
    quartered
    -0.63
     ageing
    -0.63
    aditional
    -0.61
    20439
    -0.60
    ittens
    -0.59
    POSITIVE LOGITS
    —-
    0.66
    estern
    0.66
    Grab
    0.63
    ________________________________________________________________
    0.62
    FOX
    0.62
    icio
    0.61
    ï¸ı
    0.58
     holster
    0.58
    PHOTOS
    0.58
    Watch
    0.58
    Activations Density 0.391%

    No Known Activations