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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. 2542
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    Explanations

    words relating to interviews and exchanges between individuals

    oai_token-act-pair · gpt-3.5-turbo
    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
    çīĪ
    -0.80
    icycle
    -0.67
    enture
    -0.64
    ãĤ¼
    -0.62
    TAG
    -0.60
    âĶģ
    -0.59
     tether
    -0.58
    İĭ
    -0.58
     blot
    -0.58
    ortium
    -0.57
    POSITIVE LOGITS
    Answer
    1.63
     answered
    1.55
     replies
    1.55
     replied
    1.53
     Answer
    1.52
     reply
    1.48
     answers
    1.34
    answer
    1.30
     answer
    1.27
     Answers
    1.26
    Activations Density 0.382%

    No Known Activations