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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. 6-RES-JB
    11. 14044
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    grass
    -0.70
    ibilities
    -0.68
    kees
    -0.67
    ,,,,
    -0.66
    itiz
    -0.65
    izards
    -0.63
    vernment
    -0.61
     theorem
    -0.60
    die
    -0.60
    bats
    -0.59
    POSITIVE LOGITS
    Analysis
    0.76
     Images
    0.71
     caption
    0.70
     PHOTO
    0.68
     IMAGES
    0.66
    Image
    0.65
    Photos
    0.61
     backdrop
    0.61
     Aerial
    0.59
    Coun
    0.58
    Activations Density 0.046%

    No Known Activations