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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. 10-RES-JB
    11. 5985
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    Explanations

    physical locations or objects mentioned in a written text

    oai_token-act-pair · gpt-3.5-turbo

    components related to electronic systems and their functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EPA
    -0.87
     EPA
    -0.80
    Met
    -0.80
     Vaugh
    -0.80
    Pa
    -0.79
    Mich
    -0.78
     MV
    -0.76
    ļéĨĴ
    -0.76
    Vs
    -0.76
    MET
    -0.75
    POSITIVE LOGITS
     Hod
    1.07
     BO
    0.98
     Hand
    0.97
     forehead
    0.97
     Claw
    0.92
    hands
    0.90
     hand
    0.89
     brain
    0.89
     brains
    0.88
     wrist
    0.87
    Activations Density 0.324%

    No Known Activations