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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. 3-RES-JB
    11. 24528
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    Explanations

    phrases related to intense experiences or excitement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "cra" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Democr
    -0.78
    acity
    -0.73
    ropolitan
    -0.72
    rity
    -0.71
    nikov
    -0.71
     GOODMAN
    -0.70
    matter
    -0.69
    manship
    -0.67
     Sacrament
    -0.67
     Annotations
    -0.66
    POSITIVE LOGITS
    igslist
    1.44
    fters
    1.14
    pload
    1.10
    ven
    0.90
    pton
    0.90
    ving
    0.90
    fter
    0.89
     cra
    0.89
    viation
    0.86
    ves
    0.85
    Activations Density 0.004%

    No Known Activations