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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. 10-RES-JB
    11. 12311
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    Explanations

    phrases related to criticism or challenging statements, ending with rhetorical questions

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rouse
    -0.62
    SPONSORED
    -0.62
    keyes
    -0.59
    Unix
    -0.58
     sprawling
    -0.58
     adolescent
    -0.56
    scientific
    -0.56
    adoes
    -0.55
    remlin
    -0.55
    lean
    -0.55
    POSITIVE LOGITS
     Lets
    0.77
     Liam
    0.71
     we
    0.69
     Geoff
    0.68
     Ily
    0.68
     Regarding
    0.67
     Josh
    0.67
     whilst
    0.67
     Whilst
    0.67
     Firstly
    0.67
    Activations Density 1.066%

    No Known Activations