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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "membranes"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical or biological processes and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     envelop
    -0.83
     Lans
    -0.80
     Villa
    -0.72
    urn
    -0.71
     Von
    -0.69
    女
    -0.68
     Zig
    -0.67
    ilts
    -0.66
     reign
    -0.66
     Emerson
    -0.65
    POSITIVE LOGITS
    erate
    2.98
     membranes
    1.46
     membrane
    1.46
    done
    1.39
     charger
    1.26
     broth
    1.12
     Charg
    1.10
    SEA
    1.04
    enture
    0.98
     Pros
    0.94
    Activations Density 0.071%

    No Known Activations