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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. 0-RES-JB
    11. 15545
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    Explanations

    phrases related to movement or action

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "wa" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roc
    -0.71
    sight
    -0.70
    trace
    -0.66
    enic
    -0.64
    pin
    -0.63
     Rhino
    -0.63
    phrine
    -0.62
    rences
    -0.60
    photo
    -0.59
    ENC
    -0.59
    POSITIVE LOGITS
     wa
    4.15
     Wa
    1.53
    wa
    1.40
    Wa
    1.39
     waive
    1.22
     wo
    1.14
     WA
    1.12
     ga
    1.03
     va
    0.98
     na
    0.97
    Activations Density 0.020%

    No Known Activations