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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. 11-RES-JB
    11. 5876
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    Explanations

    phrases related to instructions or procedures

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Enlarge
    -0.77
    Putin
    -0.76
    SHARE
    -0.75
    Labour
    -0.74
    >>\
    -0.74
    Jordan
    -0.73
    Netflix
    -0.73
    whatever
    -0.71
    Gamer
    -0.71
    Reddit
    -0.70
    POSITIVE LOGITS
     these
    1.42
     such
    0.93
    these
    0.91
     each
    0.86
     a
    0.84
     desirable
    0.84
     THESE
    0.83
     large
    0.82
     suitable
    0.82
     this
    0.81
    Activations Density 0.493%

    No Known Activations