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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. 4899
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    Explanations

    the phrase "out there."

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "out there."

    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
    fully
    -0.77
     Nanto
    -0.76
    ori
    -0.70
    Ĺ
    -0.68
    resh
    -0.66
    oria
    -0.66
    eus
    -0.63
    iencies
    -0.63
    ãĥ³ãĤ¸
    -0.62
    ez
    -0.60
    POSITIVE LOGITS
    abouts
    1.37
     somewhere
    0.91
    tical
    0.79
    tics
    0.74
     begging
    0.72
     smelling
    0.70
     illegally
    0.70
     ain
    0.68
    with
    0.66
     waiting
    0.66
    Activations Density 0.035%

    No Known Activations