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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. 3-RES-JB
    11. 12938
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    Explanations

    locations, especially related to sports teams and events

    oai_token-act-pair · gpt-3.5-turbo

    locations and geographical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Coffin
    -0.76
    bub
    -0.72
     Khe
    -0.68
    ãģĻ
    -0.68
    externalActionCode
    -0.67
     Cosponsors
    -0.67
    HCR
    -0.67
    phrine
    -0.66
    OSH
    -0.65
    cean
    -0.65
    POSITIVE LOGITS
     Dund
    1.06
    iates
    0.90
    ee
    0.83
    ees
    0.81
    gow
    0.80
    urst
    0.79
    rum
    0.79
    iple
    0.76
     Glas
    0.76
    iversity
    0.75
    Activations Density 0.019%

    No Known Activations