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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10531
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    Explanations

    phrases related to completion or conclusions, often involving terms like 'said' or 'done'

    oai_token-act-pair · gpt-3.5-turbo

    variations and repetitions of the concept of forms and conditions

    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
    imens
    -0.62
    aminer
    -0.58
    ioned
    -0.51
    imer
    -0.49
    iste
    -0.48
    ucl
    -0.48
    riot
    -0.46
     linkage
    -0.45
     Toxic
    -0.45
    Ward
    -0.45
    POSITIVE LOGITS
     &
    1.03
    / 
    0.98
    &
    0.88
    terday
    0.85
    /
    0.80
    ï¸
    0.76
    ayers
    0.74
     AND
    0.70
    Ô
    0.69
    and
    0.69
    Activations Density 0.817%

    No Known Activations