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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 10295
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    Explanations

    expressions of appreciation or gratitude

    oai_token-act-pair · gpt-3.5-turbo

    major thematic elements related to social dynamics and emotional engagement

    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
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    No Comments

    Negative Logits
     thereof
    -0.53
    ãĥķãĤ¡
    -0.51
    ãĥŃ
    -0.51
    pmwiki
    -0.51
    ãĤ´ãĥ³
    -0.51
    ĵĺ
    -0.50
    atform
    -0.50
    ,...
    -0.49
    odox
    -0.48
    SPONSORED
    -0.47
    POSITIVE LOGITS
    erva
    0.43
     helicop
    0.43
     Salem
    0.42
     Loaded
    0.42
    vez
    0.41
     primal
    0.41
     boarded
    0.39
     Gaul
    0.39
     Veronica
    0.38
     McCull
    0.38
    Activations Density 4.047%

    No Known Activations