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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. 9-RES-JB
    11. 2803
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    INDEX
    Explanations

    words related to actions and consequences

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and coordinating phrases indicating relationships or connections between ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.87
    cffffcc
    -0.80
    incial
    -0.75
    inar
    -0.68
    anmar
    -0.64
    particularly
    -0.63
    entary
    -0.62
    insula
    -0.62
    pu
    -0.62
    anned
    -0.61
    POSITIVE LOGITS
     nobody
    1.03
     reap
    0.99
     deserve
    0.95
     everybody
    0.94
     THEN
    0.90
     prosper
    0.90
     nothing
    0.86
     obey
    0.84
     everything
    0.83
     therein
    0.81
    Activations Density 0.291%

    No Known Activations