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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. 5338
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    Explanations

    phrases related to motivation and action taking

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving effort or initiative

    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
    thood
    -0.81
    SPONSORED
    -0.77
    nir
    -0.77
    fulness
    -0.76
    isu
    -0.75
    uin
    -0.72
    erson
    -0.70
    ãĤ¼
    -0.70
    yll
    -0.69
    cens
    -0.67
    POSITIVE LOGITS
     slack
    0.99
     basics
    0.90
     courage
    0.88
     curtain
    0.80
     pace
    0.80
     sleeves
    0.78
     playbook
    0.77
     curtains
    0.76
     towel
    0.74
     Pieces
    0.70
    Activations Density 0.289%

    No Known Activations