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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. 0-RES-JB
    11. 22655
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    Explanations

    mentions of animals, particularly dogs and wolves

    oai_token-act-pair · gpt-3.5-turbo

    references to specific animals, particularly dogs and cats

    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
    bean
    -0.80
    erto
    -0.78
     nonviolent
    -0.75
    lahoma
    -0.71
    boro
    -0.69
     Lomb
    -0.68
     bamboo
    -0.68
    hran
    -0.67
    case
    -0.67
    aram
    -0.67
    POSITIVE LOGITS
     Dogs
    2.21
     Wolves
    1.59
     Cats
    1.35
     Ips
    1.32
    д
    1.32
     Avalanche
    1.22
     pilots
    1.11
     sickness
    1.10
     Ghosts
    1.07
     relegation
    1.05
    Activations Density 0.051%

    No Known Activations