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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. 6283
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    INDEX
    Explanations

    words and phrases related to sports scores or statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to scorelines or statistics in sports contexts

    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
     wedd
    -0.82
     Philos
    -0.74
     Stra
    -0.66
     "$:/
    -0.63
     Sidd
    -0.62
    ulhu
    -0.62
     Sik
    -0.61
     Lucas
    -0.61
     Sund
    -0.60
    ãĥ¼ãĥĨãĤ£
    -0.60
    POSITIVE LOGITS
    sided
    1.05
    degree
    1.03
    digit
    1.03
    hour
    1.01
    year
    1.01
    minute
    0.98
    day
    0.96
    sized
    0.93
    dimensional
    0.92
    plus
    0.91
    Activations Density 0.083%

    No Known Activations