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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. 6-RES-JB
    11. 21896
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    Explanations

    phrases connected to progress updates or ongoing events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progress or ongoing situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    entimes
    -0.69
    icter
    -0.62
     assassinated
    -0.61
    riter
    -0.59
     Graphics
    -0.59
    Suddenly
    -0.59
    isively
    -0.58
    iscons
    -0.58
    Crime
    -0.58
     murd
    -0.57
    POSITIVE LOGITS
     progress
    0.69
    successful
    0.66
     rollout
    0.65
     runway
    0.60
     only
    0.59
    earances
    0.58
     successful
    0.58
     preparations
    0.57
     suffice
    0.57
     wip
    0.56
    Activations Density 0.126%

    No Known Activations