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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. 8-RES-JB
    11. 13015
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    INDEX
    Explanations

    phrases related to conveying or sending a message

    oai_token-act-pair · gpt-3.5-turbo

    statements regarding communication or expressing a message

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    endars
    -0.78
    ords
    -0.73
    buck
    -0.71
    igs
    -0.70
    ternity
    -0.69
    rences
    -0.69
    ateur
    -0.67
    fac
    -0.67
    everal
    -0.66
    assing
    -0.66
    POSITIVE LOGITS
     message
    1.12
     loud
    0.96
     conveyed
    0.96
     messages
    0.91
     preached
    0.89
    message
    0.83
     reson
    0.81
     slogan
    0.79
     resonate
    0.79
     communicated
    0.79
    Activations Density 0.097%

    No Known Activations