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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. 1-RES-JB
    11. 17569
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    Explanations

    words related to specific locations or places

    oai_token-act-pair · gpt-3.5-turbo

    words related to medical conditions or symptoms, particularly those associated with a specific condition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ership
    -0.83
    scl
    -0.78
    draft
    -0.73
     Ath
    -0.73
    stream
    -0.68
    iversal
    -0.66
    fall
    -0.65
    ritch
    -0.64
    est
    -0.64
    ARK
    -0.63
    POSITIVE LOGITS
    eria
    1.12
    uana
    0.90
    peria
    0.90
    culosis
    0.88
    onial
    0.82
    ulia
    0.78
    ocious
    0.78
    BILITY
    0.78
    merga
    0.77
    eri
    0.76
    Activations Density 0.012%

    No Known Activations