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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. 24276
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    Explanations

    phrases related to actions or events being completed or executed

    oai_token-act-pair · gpt-3.5-turbo

    references to events or actions that have been carried out or enacted

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     CLR
    -0.56
     ALWAYS
    -0.54
     kingdoms
    -0.53
    ©¶æ
    -0.52
     casinos
    -0.52
     tv
    -0.52
     negro
    -0.50
     surn
    -0.50
     respectively
    -0.49
     WORLD
    -0.49
    POSITIVE LOGITS
    .</
    0.70
    %.
    0.68
    ãĢĤ
    0.68
    .<
    0.66
    `.
    0.66
    inventoryQuantity
    0.65
    ''.
    0.64
    .?
    0.64
    .''
    0.63
    Less
    0.62
    Activations Density 1.321%

    No Known Activations