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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. 4957
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    Explanations

    names or mentions of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    specific identifiers or names related to individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     paras
    -0.97
     parasite
    -0.86
     XIII
    -0.85
     Jagu
    -0.82
     sarc
    -0.82
     labyrinth
    -0.81
     teleport
    -0.81
     parasitic
    -0.80
     trap
    -0.80
    isphere
    -0.80
    POSITIVE LOGITS
     Brown
    2.27
    Brown
    2.23
     Browne
    1.60
    brown
    1.54
     Browns
    1.38
     Gray
    1.36
    Gray
    1.30
     brown
    1.23
     Boone
    1.10
    Wilson
    1.10
    Activations Density 0.169%

    No Known Activations