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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. 15456
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    Explanations

    ASCII art depicting specific images

    oai_token-act-pair · gpt-3.5-turbo

    sequences of repeated characters or patterns

    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
    owsky
    -0.74
    sers
    -0.69
    lists
    -0.69
    aneers
    -0.69
    ahime
    -0.65
    prem
    -0.65
     âĢİ
    -0.65
     Annotations
    -0.64
    naires
    -0.64
    gebra
    -0.63
    POSITIVE LOGITS
    ****************
    0.81
    ************
    0.72
    RB
    0.70
     livest
    0.69
     refine
    0.66
    idas
    0.65
     find
    0.65
     Swim
    0.64
    ply
    0.62
    Hunt
    0.62
    Activations Density 0.001%

    No Known Activations