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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. 10-RES-JB
    11. 6281
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    Explanations

    phrases related to initiatives or actions intended to improve or change something

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "make" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stration
    -0.67
    arily
    -0.59
     vest
    -0.59
    anders
    -0.58
     interpreted
    -0.58
    swick
    -0.56
     spor
    -0.54
    rored
    -0.53
     thr
    -0.53
     blister
    -0.53
    POSITIVE LOGITS
     sure
    1.16
    file
    1.01
    hift
    0.96
     Sure
    0.90
     Believe
    0.88
    files
    0.87
    over
    0.87
    URE
    0.85
    up
    0.85
    sure
    0.79
    Activations Density 0.040%

    No Known Activations