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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. 1356
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    Explanations

    references to the year 2017

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2017

    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
    tub
    -0.65
    imore
    -0.65
     repro
    -0.63
    Bone
    -0.62
    onic
    -0.60
     throb
    -0.59
    inks
    -0.58
    cipl
    -0.58
    cephal
    -0.57
    llular
    -0.57
    POSITIVE LOGITS
    halla
    0.81
    bucks
    0.72
    å¹
    0.70
    20439
    0.68
     Winners
    0.67
    ı
    0.66
    âĢ²
    0.66
    âĢ³
    0.66
    Marginal
    0.65
     onwards
    0.64
    Activations Density 0.037%

    No Known Activations