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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8217
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    INDEX
    Explanations

    phrases related to complexity and challenge

    oai_token-act-pair · gpt-3.5-turbo

    commas and their frequent usage in complex sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Awakens
    -0.64
     mosqu
    -0.59
    uggest
    -0.59
     Forced
    -0.56
    atari
    -0.56
     Gleaming
    -0.55
    yah
    -0.55
    asio
    -0.53
    ndra
    -0.53
     Puzzles
    -0.52
    POSITIVE LOGITS
     albeit
    1.26
    albeit
    1.12
     if
    1.02
    sometimes
    0.97
    perhaps
    0.93
    if
    0.90
     perhaps
    0.86
     indeed
    0.82
     possibly
    0.76
     sometimes
    0.74
    Activations Density 0.175%

    No Known Activations