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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1599
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    Explanations

    phrases related to specific locations or events, particularly with N.C. or N.Y. abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    specific geographical identifiers and references to locations

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Situation
    -0.70
    DragonMagazine
    -0.67
    uddin
    -0.63
    20439
    -0.60
    ufact
    -0.60
    idis
    -0.59
    emort
    -0.59
     roadside
    -0.59
     Tsarnaev
    -0.59
     Abedin
    -0.58
    POSITIVE LOGITS
    sylvania
    0.84
    .,
    0.73
     Tenn
    0.68
    astern
    0.68
    essee
    0.67
    achus
    0.67
    emia
    0.66
    isco
    0.66
    ansas
    0.66
     Calif
    0.66
    Activations Density 0.088%

    No Known Activations