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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. 9-RES-JB
    11. 13726
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    Explanations

    phrases indicating an understanding or visualization of a concept

    oai_token-act-pair · gpt-3.5-turbo

    phrases suggesting clarity or understanding of a concept or situation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disappoint
    -0.64
     commenters
    -0.54
     Carbuncle
    -0.53
     microphones
    -0.52
    ankind
    -0.52
     dearly
    -0.52
     disliked
    -0.51
     whist
    -0.51
     Churches
    -0.50
     peas
    -0.50
    POSITIVE LOGITS
     thereof
    1.06
     of
    1.03
    why
    0.86
     how
    0.84
    of
    0.81
    isphere
    0.81
     OF
    0.80
    how
    0.79
    helm
    0.77
    DragonMagazine
    0.76
    Activations Density 0.189%

    No Known Activations