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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. 9253
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    Explanations

    locations mentioned in news articles or reports

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographical locations

    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
    ramid
    -1.08
    76561
    -0.99
    aceous
    -0.92
    ramids
    -0.78
    abase
    -0.77
    oret
    -0.77
    kaya
    -0.76
    awaru
    -0.75
    ascript
    -0.74
    aeda
    -0.74
    POSITIVE LOGITS
    shire
    1.01
     Newark
    0.99
     Liberty
    0.76
     Bark
    0.72
    berry
    0.71
    shore
    0.71
    berries
    0.70
     Bay
    0.69
    esis
    0.69
     Crus
    0.69
    Activations Density 0.023%

    No Known Activations