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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. 9-RES-JB
    11. 23330
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    Explanations

    words related to connection or attachment

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe connections or attachments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utenberg
    -0.69
    mberg
    -0.69
     understatement
    -0.65
    ghai
    -0.63
    uddin
    -0.61
    Cola
    -0.61
     Patton
    -0.57
    Ö¼
    -0.57
    MQ
    -0.57
    lda
    -0.57
    POSITIVE LOGITS
     thereto
    1.21
    ments
    0.79
     Thumbnails
    0.75
     Pwr
    0.75
     securely
    0.74
    raits
    0.74
     onto
    0.71
     attached
    0.71
     hoop
    0.68
    ivity
    0.68
    Activations Density 0.054%

    No Known Activations