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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. 4-RES-JB
    11. 11441
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    Explanations

    locations or cities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific cities

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

    No Comments

    Negative Logits
    thood
    -0.81
    vana
    -0.77
    ãĥł
    -0.71
    selage
    -0.66
    VALUE
    -0.65
    adata
    -0.60
    akable
    -0.60
    status
    -0.59
    ugu
    -0.59
    ynthesis
    -0.59
    POSITIVE LOGITS
     Rapids
    0.80
     County
    0.77
     Heights
    0.74
     Township
    0.71
     skyline
    0.71
     State
    0.69
     Hills
    0.68
     Tribune
    0.67
     City
    0.67
     Area
    0.66
    Activations Density 0.198%

    No Known Activations