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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. 4-RES-JB
    11. 2403
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    Explanations

    specific actions or events that have a significant impact on a system or process

    oai_token-act-pair · gpt-3.5-turbo

    the word "when" indicating temporal contexts or conditions

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

    No Comments

    Negative Logits
    agin
    -0.81
    gur
    -0.74
    alin
    -0.72
    Lay
    -0.72
    Phill
    -0.72
    ryu
    -0.71
    him
    -0.71
    aine
    -0.70
    rovers
    -0.68
    elman
    -0.66
    POSITIVE LOGITS
    soever
    1.32
     applying
    0.91
     evaluating
    0.88
     applied
    0.86
     selecting
    0.82
     transferring
    0.81
     confronted
    0.81
     dealing
    0.80
     confir
    0.80
     encountering
    0.80
    Activations Density 0.107%

    No Known Activations