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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. 3-RES-JB
    11. 16953
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    INDEX
    Explanations

    information about or related to "chunks" of something

    oai_token-act-pair · gpt-3.5-turbo

    references to portions or segments of something substantial

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.68
     Examiner
    -0.63
     Mood
    -0.61
    PRES
    -0.61
     Pend
    -0.60
     Parade
    -0.60
     Correspond
    -0.60
    CV
    -0.60
    Adv
    -0.59
     mood
    -0.57
    POSITIVE LOGITS
     chunks
    1.02
    meal
    0.98
     chunk
    0.96
    iest
    0.93
    buster
    0.89
    dump
    0.87
    efully
    0.81
    busters
    0.81
    ies
    0.80
    aby
    0.80
    Activations Density 0.011%

    No Known Activations