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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. 1-RES-JB
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    Explanations

    terms relating to things that are significantly impacting or involved in a situation

    oai_token-act-pair · gpt-3.5-turbo

    the word "heavily" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Machina
    -0.78
     Chaser
    -0.77
    tein
    -0.76
     Thumbnails
    -0.76
    scl
    -0.75
    iry
    -0.74
     Tackle
    -0.71
    mberg
    -0.69
    Trend
    -0.69
    atu
    -0.68
    POSITIVE LOGITS
     heavily
    1.04
     subsid
    0.88
     armoured
    0.87
     overpowered
    0.82
     armored
    0.82
     reliant
    0.81
     unsu
    0.81
     relied
    0.79
     patched
    0.78
     withd
    0.77
    Activations Density 0.009%

    No Known Activations