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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. 9547
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    Explanations

    mentions of different dog and cat breeds

    oai_token-act-pair · gpt-3.5-turbo

    terms related to different breeds of animals

    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
    oulos
    -0.69
    adeon
    -0.66
     Phone
    -0.64
    enture
    -0.63
    ynthesis
    -0.63
     Trop
    -0.62
    mington
    -0.62
    externalActionCode
    -0.62
    zbollah
    -0.62
    vernment
    -0.60
    POSITIVE LOGITS
     bred
    1.16
     breed
    0.98
     breeds
    0.90
    ers
    0.86
    rait
    0.85
    alog
    0.81
     Breed
    0.80
     breeding
    0.78
    warts
    0.76
     dogs
    0.74
    Activations Density 0.011%

    No Known Activations