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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. 24129
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    Explanations

    the word "just"

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of limitation or singularity

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Industries
    -0.57
     creations
    -0.57
     Chocobo
    -0.57
     jointly
    -0.54
    buster
    -0.54
     |--
    -0.53
     imagin
    -0.52
     Cit
    -0.52
     lovers
    -0.52
    ROR
    -0.51
    POSITIVE LOGITS
     plenty
    0.82
     unanim
    0.81
    ufficient
    0.78
    enough
    0.77
     precedence
    0.76
     ample
    0.75
     precedent
    0.72
    umption
    0.71
    xus
    0.71
    enty
    0.70
    Activations Density 0.139%

    No Known Activations