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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. 9-RES-JB
    11. 2691
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    Explanations

    geographical locations related to ports

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographical locations and their associated entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    schild
    -0.75
     Moment
    -0.66
    feld
    -0.64
    kai
    -0.62
    hirt
    -0.61
     Fold
    -0.61
    sect
    -0.60
     Spoon
    -0.60
    terms
    -0.59
    usercontent
    -0.58
    POSITIVE LOGITS
    uese
    1.05
    ão
    0.87
     Rican
    0.77
    bara
    0.74
    sylvania
    0.73
    cially
    0.70
    lished
    0.70
    ortium
    0.69
    iture
    0.68
     Racer
    0.66
    Activations Density 0.172%

    No Known Activations