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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 288
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    Explanations

    words related to medical actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases commonly associated with significant events or societal observations

    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
     scrimmage
    -0.57
     snail
    -0.55
    _>
    -0.54
    oft
    -0.51
     OF
    -0.50
     sarc
    -0.49
     of
    -0.48
     Pants
    -0.47
    aceous
    -0.47
     Bastard
    -0.46
    POSITIVE LOGITS
    \\\\\\\\
    0.70
    VERTISEMENT
    0.68
    enes
    0.59
    eden
    0.58
    OPLE
    0.57
    END
    0.57
    vernight
    0.57
    --+
    0.57
    vertis
    0.55
    enment
    0.55
    Activations Density 0.563%

    No Known Activations