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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. 4-RES-JB
    11. 13556
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    Explanations

    references related to rounds of ammunition

    oai_token-act-pair · gpt-3.5-turbo

    references to rounds of ammunition

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

    No Comments

    Negative Logits
    yer
    -0.71
    vell
    -0.68
     Cald
    -0.66
     plight
    -0.65
    natureconservancy
    -0.65
     Beckham
    -0.64
     Norn
    -0.64
     Fey
    -0.63
    rian
    -0.63
     streng
    -0.62
    POSITIVE LOGITS
     rounds
    0.81
    amples
    0.77
    ings
    0.75
    meal
    0.74
    outs
    0.71
    ounds
    0.70
     Jacket
    0.70
     Rounds
    0.69
    abouts
    0.68
    dinand
    0.68
    Activations Density 0.010%

    No Known Activations