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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. 7-RES-JB
    11. 11715
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    Explanations

    speed or velocity measurements expressed in miles per hour (mph)

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement of speed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gotten
    -0.87
    ãĤ©
    -0.77
    pty
    -0.76
    ERY
    -0.75
    nam
    -0.74
     Nug
    -0.68
    rum
    -0.67
    ĸļ
    -0.66
    bie
    -0.66
    bor
    -0.65
    POSITIVE LOGITS
     speeds
    0.92
     mph
    0.87
    mph
    0.87
     speed
    0.83
     winds
    0.82
     fastball
    0.75
     cutoff
    0.75
     gust
    0.73
     MPH
    0.70
     limit
    0.70
    Activations Density 0.020%

    No Known Activations