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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. 7-RES-JB
    11. 5258
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    Explanations

    text encoding anomalies or errors

    oai_token-act-pair · gpt-3.5-turbo

    specific markers indicating cultural references or elements related to mythology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilogy
    -0.68
     ACTIONS
    -0.63
     weighed
    -0.62
     Clover
    -0.61
     Clicker
    -0.61
    ittee
    -0.61
    hement
    -0.60
     MFT
    -0.59
     Sins
    -0.58
     eagerly
    -0.58
    POSITIVE LOGITS
    \)
    0.78
    _.
    0.76
    dden
    0.72
     guiActive
    0.71
    />
    0.68
    _{
    0.68
     sqor
    0.68
    scale
    0.67
    )</
    0.65
    \.
    0.65
    Activations Density 0.296%

    No Known Activations