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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. 1-RES-JB
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    Explanations

    murals or mural-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to murals and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AMS
    -0.76
     Clarkson
    -0.73
     Crusher
    -0.71
    ologne
    -0.67
    elsen
    -0.66
    BD
    -0.65
    ENTS
    -0.65
    ensor
    -0.65
     Ballistic
    -0.64
    ensation
    -0.64
    POSITIVE LOGITS
     mur
    1.31
     mural
    1.07
    mur
    1.03
     paintings
    0.82
     painting
    0.77
    asonic
    0.77
    daq
    0.75
    mble
    0.75
    artisan
    0.72
    ufact
    0.72
    Activations Density 0.007%

    No Known Activations