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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

    references to specific locations, especially cities like Akron and Toledo

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific cities, particularly Akron and Toledo

    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
     istg
    -0.76
    uscript
    -0.71
    sle
    -0.71
    yd
    -0.70
    inth
    -0.68
    ership
    -0.68
    grave
    -0.67
    pard
    -0.67
    wagen
    -0.67
    tre
    -0.66
    POSITIVE LOGITS
     Akron
    1.19
    aukee
    0.86
     Toledo
    0.79
     Cincinnati
    0.78
     Lansing
    0.75
     Tripoli
    0.74
     Ohio
    0.72
     Beacon
    0.72
    Zip
    0.71
    ãĥ³ãĤ¸
    0.71
    Activations Density 0.007%

    No Known Activations