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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. 9-RES-JB
    11. 7455
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    Explanations

    descriptive photo captions

    oai_token-act-pair · gpt-3.5-turbo

    instances of photography credits and references in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    luaj
    -0.65
    agonist
    -0.64
     patches
    -0.61
    iband
    -0.60
     treacher
    -0.59
    zbollah
    -0.59
     abol
    -0.58
     tit
    -0.57
    weapon
    -0.57
     clinically
    -0.56
    POSITIVE LOGITS
    window
    1.29
     FILE
    0.89
    VERTISEMENT
    0.80
    taboola
    0.79
     Caption
    0.78
     Courtesy
    0.76
    FILE
    0.76
    Interstitial
    0.76
     Photo
    0.75
     Chronicle
    0.74
    Activations Density 0.076%

    No Known Activations