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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. 1-RES-JB
    6. 12002
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    Explanations

    proper nouns related to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    the mention of specific individuals, particularly those associated with notable events or titles

    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
    lihood
    -1.07
    ppings
    -0.82
    rene
    -0.76
    uro
    -0.75
    vation
    -0.74
    function
    -0.72
    adra
    -0.71
    uri
    -0.70
    LV
    -0.69
    urable
    -0.68
    POSITIVE LOGITS
     Barber
    1.11
    enburg
    0.77
     conflic
    0.74
    phabet
    0.71
     behavi
    0.71
    inator
    0.70
     exhib
    0.68
     Cantor
    0.68
    vertisements
    0.68
     resil
    0.66
    Activations Density 0.021%

    No Known Activations