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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. 7-RES-JB
    11. 2664
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    Explanations

    various names of animals

    oai_token-act-pair · gpt-3.5-turbo

    references to various species of animals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Money
    -0.79
    è£ħ
    -0.77
    Revolution
    -0.75
     billing
    -0.74
     Konami
    -0.73
     Money
    -0.73
    Reloaded
    -0.73
     backstage
    -0.70
     Vanity
    -0.70
     Shutdown
    -0.70
    POSITIVE LOGITS
     species
    1.33
    fish
    1.17
     animals
    1.16
    species
    1.16
     organisms
    1.15
     specimens
    1.14
     beetle
    1.13
     mammals
    1.12
     predators
    1.08
     whales
    1.08
    Activations Density 0.303%

    No Known Activations