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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. 4-RES-JB
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    Explanations

    phrases indicating physical presence or attendance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "there."

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

    No Comments

    Negative Logits
    regate
    -0.75
    urses
    -0.64
     CJ
    -0.60
    Force
    -0.59
     wounds
    -0.57
    fuck
    -0.56
     cups
    -0.56
    region
    -0.55
     fibers
    -0.55
    azes
    -0.55
    POSITIVE LOGITS
    abouts
    1.09
    inel
    0.76
    çĶŁ
    0.74
     tradem
    0.71
     undermin
    0.70
    FORE
    0.66
    itational
    0.66
    itored
    0.66
    tics
    0.66
    upon
    0.66
    Activations Density 0.046%

    No Known Activations