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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. 7-RES-JB
    11. 14005
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    Explanations

    locations or events related to various cities or regions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with events or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.74
    amsung
    -0.68
    Ö¼
    -0.67
     conflic
    -0.67
    agy
    -0.66
    ctive
    -0.63
     pend
    -0.63
     millenn
    -0.61
    worldly
    -0.60
     causation
    -0.60
    POSITIVE LOGITS
     Toll
    0.79
    ways
    0.78
     Centre
    0.77
    waters
    0.77
    ressor
    0.76
     Festival
    0.76
     Cemetery
    0.75
    istrates
    0.75
    Council
    0.74
    cill
    0.74
    Activations Density 0.464%

    No Known Activations