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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5328
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    Explanations

    proper nouns related to Disney

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Walt" and related figures in a specific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     variance
    -0.71
     tampering
    -0.69
     elig
    -0.63
    orescent
    -0.62
    adesh
    -0.61
     aval
    -0.61
     linkage
    -0.61
     Cth
    -0.60
    RED
    -0.59
     extrater
    -0.58
    POSITIVE LOGITS
     Disney
    1.02
     Whitman
    1.02
    rip
    0.98
    enthal
    0.92
    zing
    0.89
    stad
    0.88
     Walt
    0.88
    pins
    0.81
    ter
    0.81
    pin
    0.78
    Activations Density 0.010%

    No Known Activations