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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    references to museums

    oai_token-act-pair · gpt-3.5-turbo

    references to museums

    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
    ploy
    -0.68
     Squ
    -0.65
    ------------------------------------------------
    -0.64
    ACTED
    -0.64
    ect
    -0.63
    Squ
    -0.62
     Tackle
    -0.62
     clauses
    -0.61
     resolve
    -0.60
    Parameter
    -0.60
    POSITIVE LOGITS
     museum
    3.48
     museums
    2.82
     Museum
    2.69
    useum
    2.22
     Smithsonian
    1.90
     curator
    1.77
     zoo
    1.57
     Muse
    1.53
     exhibitions
    1.49
     gallery
    1.48
    Activations Density 0.021%

    No Known Activations