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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. 4013
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    INDEX
    Explanations

    instances of "can see" phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve the concept of perception or observation

    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
    igmat
    -0.74
    restling
    -0.64
     lasting
    -0.63
    emate
    -0.62
    pan
    -0.58
     revived
    -0.57
     canceled
    -0.55
     teamed
    -0.55
     gimmick
    -0.55
    rang
    -0.54
    POSITIVE LOGITS
     guessed
    0.69
    Know
    0.69
    mentioned
    0.68
     yourselves
    0.66
     paraph
    0.62
    bowl
    0.61
     observe
    0.61
    :{
    0.60
    çİĭ
    0.60
     Know
    0.59
    Activations Density 0.045%

    No Known Activations