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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. 11-RES-JB
    6. 24294
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    Explanations

    terms related to strong emotional reactions and specific biological processes

    oai_token-act-pair · gpt-3.5-turbo

    topics related to health, social issues, and environmental concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ?)
    -0.59
    with
    -0.52
    ivating
    -0.52
    lance
    -0.51
    odied
    -0.50
    ?),
    -0.50
    encia
    -0.47
    ?)
    -0.47
    ZA
    -0.47
    feat
    -0.47
    POSITIVE LOGITS
    .</
    0.81
    .:
    0.77
    .�
    0.74
    .#
    0.73
    .<
    0.69
    .''
    0.69
    .'
    0.69
    .*
    0.67
    .","
    0.67
    %.
    0.63
    Activations Density 0.890%

    No Known Activations