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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. 2858
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    Explanations

    references to topics or subjects that the writer intends to write about

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the topic of discussion or subjects being written about

    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
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    Negative Logits
     Sabha
    -0.87
     commanded
    -0.69
    ©¶æ¥µ
    -0.67
    quez
    -0.67
    aurus
    -0.66
    chen
    -0.65
    ometer
    -0.65
     signaled
    -0.64
    nas
    -0.64
    RS
    -0.63
    POSITIVE LOGITS
    =#
    0.76
     how
    0.74
     topics
    0.64
    =>
    0.62
     overcoming
    0.62
    edIn
    0.61
    isf
    0.61
    efeated
    0.60
     experiences
    0.59
     UFOs
    0.58
    Activations Density 0.139%

    No Known Activations