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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. 1-RES-JB
    11. 2161
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    Explanations

    phrases starting with "How" followed by a description or question

    oai_token-act-pair · gpt-3.5-turbo

    questions that begin with "How."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    76561
    -0.69
     receiving
    -0.69
     grounds
    -0.67
    ograph
    -0.66
    Ãį
    -0.65
     Tanz
    -0.65
    uthor
    -0.64
     �
    -0.64
     territory
    -0.62
     yak
    -0.62
    POSITIVE LOGITS
    soever
    1.04
    ever
    0.91
    HCR
    0.89
    Do
    0.81
    AAAAAAAA
    0.77
    Does
    0.77
    leep
    0.77
    beit
    0.74
    pointers
    0.74
    iago
    0.74
    Activations Density 0.020%

    No Known Activations