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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. 0-RES-JB
    11. 15000
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    Explanations

    references to specific geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of geographic locations or regions

    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
    [/
    -0.75
    ewitness
    -0.74
     logs
    -0.67
    tarians
    -0.66
    itives
    -0.65
     destro
    -0.65
     mileage
    -0.64
    ITNESS
    -0.61
     anchor
    -0.60
     monks
    -0.59
    POSITIVE LOGITS
    alia
    1.02
    ag
    0.96
    uria
    0.83
    ahime
    0.75
    antz
    0.70
    amia
    0.70
    uary
    0.66
    uri
    0.66
    ESA
    0.66
    entin
    0.65
    Activations Density 0.000%

    No Known Activations