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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. 0-RES-JB
    11. 6677
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    Explanations

    photographs and image captions

    oai_token-act-pair · gpt-3.5-turbo

    references to photographs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     leve
    -0.76
     pit
    -0.72
     Guth
    -0.70
     comprehens
    -0.70
     supers
    -0.67
     sto
    -0.66
     wa
    -0.66
     elapsed
    -0.65
     Wing
    -0.64
     worlds
    -0.63
    POSITIVE LOGITS
    photo
    4.56
    photos
    2.25
    picture
    1.77
    Photo
    1.73
    phot
    1.55
     Photo
    1.51
    thumbnails
    1.37
    image
    1.36
     PHOTO
    1.33
    video
    1.33
    Activations Density 0.025%

    No Known Activations