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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22
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    INDEX
    Explanations

    patterns related to chronological actions or sequences

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to progression or completion in a sequential manner

    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
     ?)
    -0.76
    -)
    -0.68
    hack
    -0.67
    ?]
    -0.66
    panel
    -0.63
    %]
    -0.62
    arten
    -0.61
    ~~~~
    -0.60
    ?)
    -0.59
     inaction
    -0.58
    POSITIVE LOGITS
     respectively
    0.84
     effortlessly
    0.78
     spew
    0.74
     culmin
    0.70
     neatly
    0.68
     obliter
    0.68
     brutally
    0.68
     perched
    0.67
     seamlessly
    0.66
     sandwic
    0.65
    Activations Density 1.251%

    No Known Activations