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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. 3-RES-JB
    11. 3051
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    Explanations

    references to American football running backs

    oai_token-act-pair · gpt-3.5-turbo

    references to running backs in sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vu
    -0.68
    earable
    -0.68
    itsu
    -0.66
     âĺ
    -0.64
    ombat
    -0.64
    kefeller
    -0.63
    Ń·
    -0.63
     LTD
    -0.63
     JPM
    -0.62
     viz
    -0.61
    POSITIVE LOGITS
    packs
    0.87
    fired
    0.84
    tracking
    0.83
    side
    0.82
    gam
    0.81
    GROUND
    0.81
    seat
    0.79
    woods
    0.79
    hander
    0.79
    wards
    0.79
    Activations Density 0.044%

    No Known Activations