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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. 6-RES-JB
    11. 13480
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    Explanations

    references to different models of Tesla cars

    oai_token-act-pair · gpt-3.5-turbo

    references to different Tesla car models

    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
    èª
    -0.85
    olulu
    -0.82
    aciously
    -0.81
    ulhu
    -0.79
    Downloadha
    -0.79
    pin
    -0.74
    vernment
    -0.73
    azar
    -0.73
    izabeth
    -0.72
    ught
    -0.70
    POSITIVE LOGITS
     Mayhem
    0.92
    eer
    0.80
     Model
    0.78
    eers
    0.73
     1886
    0.70
    makers
    0.65
     maker
    0.65
     Penal
    0.64
    urer
    0.63
    ied
    0.63
    Activations Density 0.016%

    No Known Activations