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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. 2-RES-JB
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    Explanations

    terms related to frames-per-second (FPS) in video games

    oai_token-act-pair · gpt-3.5-turbo

    terms related to frames per second (FPS) and performance metrics in gaming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bor
    -0.80
    bery
    -0.77
    bone
    -0.75
    idem
    -0.73
    tumblr
    -0.73
    izational
    -0.72
    een
    -0.69
    idon
    -0.68
    via
    -0.68
    onym
    -0.66
    POSITIVE LOGITS
     FPS
    1.11
    fps
    1.00
     fps
    0.98
    PDATE
    0.95
    erate
    0.94
     Seym
    0.85
     fram
    0.84
     confir
    0.83
    UGE
    0.82
    senal
    0.80
    Activations Density 0.013%

    No Known Activations