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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. 4-RES-JB
    11. 2478
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    Explanations

    numerical patterns within text

    oai_token-act-pair · gpt-3.5-turbo

    social security-related terminology and phrases

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

    No Comments

    Negative Logits
    sylv
    -0.63
    manship
    -0.59
    olini
    -0.58
    arella
    -0.58
    achine
    -0.56
    facebook
    -0.55
    ãĤ©
    -0.55
    natureconservancy
    -0.54
    nikov
    -0.54
    otaur
    -0.53
    POSITIVE LOGITS
    hyde
    0.55
    pora
    0.52
     Cortex
    0.50
     Pil
    0.49
    near
    0.47
     Airl
    0.45
     Spock
    0.45
     Normandy
    0.44
     Presence
    0.44
     Spa
    0.44
    Activations Density 1.813%

    No Known Activations