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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. 7-RES-JB
    11. 9646
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įåĸļ士
    -0.76
    Ĥª
    -0.69
    inventoryQuantity
    -0.67
    ¥µ
    -0.66
    Pg
    -0.65
     cav
    -0.63
    _-_
    -0.63
    redits
    -0.63
    ahime
    -0.63
     âĶľâĶĢâĶĢ
    -0.62
    POSITIVE LOGITS
     inquire
    0.94
     solicit
    0.77
     contacts
    0.76
     requesting
    0.75
     clarify
    0.73
     correspondence
    0.70
     Zan
    0.66
     sender
    0.65
     bombard
    0.64
     elicit
    0.63
    Activations Density 0.131%

    No Known Activations