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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 3923
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of the number 59 in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Embedding Space Digit Features

    No Comments

    Negative Logits
     Ballard
    -0.80
    aux
    -0.74
    ard
    -0.69
     Redmond
    -0.67
     aux
    -0.67
    arm
    -0.65
     Lev
    -0.64
     shield
    -0.64
    apon
    -0.63
    arma
    -0.63
    POSITIVE LOGITS
    59
    1.73
    69
    1.65
    79
    1.62
    39
    1.59
    139
    1.52
     69
    1.50
     89
    1.50
    149
    1.49
    129
    1.48
    399
    1.48
    Activations Density 0.057%

    No Known Activations