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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. 17363
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    Explanations

    financial terms related to costs, measurements, and reductions

    oai_token-act-pair · gpt-3.5-turbo

    references to a "one" year timeframe or duration

    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
     Borders
    -0.72
    ãĤ¼ãĤ¦ãĤ¹
    -0.69
     SIG
    -0.66
    ORK
    -0.66
     Cla
    -0.65
     Kuh
    -0.64
     Dickinson
    -0.64
     wedd
    -0.64
     Stra
    -0.63
     Prol
    -0.62
    POSITIVE LOGITS
    sided
    1.23
    dimensional
    1.15
    year
    1.12
    sized
    1.11
    legged
    1.07
    minute
    1.06
    footed
    1.04
    handed
    1.01
    size
    0.99
    day
    0.99
    Activations Density 0.044%

    No Known Activations