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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. 8-RES-JB
    11. 24543
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    Explanations

    past participles used in the context of describing events or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating repetitive occurrences or ongoing situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arta
    -0.82
     cylinders
    -0.69
     Tycoon
    -0.65
    ooters
    -0.64
     Borders
    -0.63
    onto
    -0.60
    ooter
    -0.59
     Higgins
    -0.59
    ribe
    -0.59
    remember
    -0.59
    POSITIVE LOGITS
     plenty
    0.94
     murm
    0.86
     tremendous
    0.76
     whispers
    0.75
     uproar
    0.74
     enough
    0.73
     conflicting
    0.73
     renewed
    0.73
     unanimous
    0.73
     reports
    0.72
    Activations Density 0.040%

    No Known Activations