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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. 2-RES-JB
    11. 5625
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    Explanations

    references to continuous or ongoing actions or events

    oai_token-act-pair · gpt-3.5-turbo

    repeated usage of the word "rolling"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nam
    -0.74
     Cald
    -0.69
    bub
    -0.69
    ãĥ¤
    -0.68
    xus
    -0.68
    sem
    -0.67
    rians
    -0.67
    ¿½
    -0.67
    ãĥŁ
    -0.67
    adr
    -0.66
    POSITIVE LOGITS
     rolling
    1.09
     roll
    0.97
     rolled
    0.96
     downhill
    0.92
     rolls
    0.88
    Roll
    0.88
    roll
    0.80
     Roll
    0.78
     Rolls
    0.74
     boulder
    0.71
    Activations Density 0.011%

    No Known Activations