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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. 0-RES-JB
    11. 1845
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     outl
    -0.76
     privately
    -0.73
     handic
    -0.72
     seeds
    -0.69
     plateau
    -0.62
     nurs
    -0.62
     dun
    -0.62
     miss
    -0.61
     traditions
    -0.60
     semic
    -0.60
    POSITIVE LOGITS
    action
    4.42
    actions
    2.67
    ACTION
    2.35
    Action
    2.28
    acting
    2.07
     action
    1.74
    acted
    1.71
     Action
    1.69
    activity
    1.61
    actor
    1.55
    Activations Density 0.010%

    No Known Activations