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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. 4982
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    Explanations

    references to types and quantities of ammunition

    oai_token-act-pair · gpt-3.5-turbo

    references to "rounds" of ammunition or similar terms

    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
    uras
    -0.82
    yer
    -0.70
     chord
    -0.64
    phrine
    -0.64
    oir
    -0.62
    rian
    -0.61
    aff
    -0.61
    rians
    -0.60
    ria
    -0.59
     Beckham
    -0.59
    POSITIVE LOGITS
     rounds
    1.14
     Rounds
    0.92
     âī¡
    0.73
     round
    0.72
    dinand
    0.70
    abouts
    0.70
    umenthal
    0.68
     Round
    0.67
    mith
    0.66
    hift
    0.66
    Activations Density 0.006%

    No Known Activations