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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. 7-RES-JB
    11. 7452
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    oai_token-act-pair · gpt-3.5-turbo

    references to photographs or images

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ressive
    -0.78
    rose
    -0.73
    ricular
    -0.72
    ory
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    ibel
    -0.69
    asons
    -0.69
    soc
    -0.68
    uct
    -0.68
    ouls
    -0.67
    itely
    -0.66
    POSITIVE LOGITS
     IMAGES
    0.73
     caption
    0.69
     REUTERS
    0.69
    FILE
    0.68
    SHARE
    0.63
     Photographer
    0.62
     Phot
    0.61
    HAEL
    0.61
     FILE
    0.61
     Armed
    0.60
    Activations Density 0.036%

    No Known Activations