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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. 6-RES-JB
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    Explanations

    mentions of the word "prairie"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "praise" in various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ners
    -0.78
    ania
    -0.77
    uala
    -0.76
    bang
    -0.75
    ded
    -0.71
    ocker
    -0.70
    ding
    -0.69
    abases
    -0.69
    NER
    -0.68
    wise
    -0.68
    POSITIVE LOGITS
    irie
    0.98
    ignty
    0.89
    ĺħ
    0.87
    iries
    0.82
     Trace
    0.70
    ction
    0.69
    kt
    0.68
     assurance
    0.66
    Stars
    0.66
     Prairie
    0.65
    Activations Density 0.053%

    No Known Activations