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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. 17059
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    Explanations

    references to proteins

    oai_token-act-pair · gpt-3.5-turbo

    references to protein

    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
    sbm
    -0.75
    ragon
    -0.67
    FINE
    -0.67
    76561
    -0.66
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.66
    âĸ¬âĸ¬
    -0.66
     Moff
    -0.65
    rek
    -0.65
    æ©
    -0.65
    ewitness
    -0.65
    POSITIVE LOGITS
    aceous
    1.24
    protein
    0.92
     isolate
    0.90
    zyme
    0.89
     powd
    0.88
     synthesis
    0.82
     Expression
    0.81
    rotein
    0.80
     protein
    0.78
     phosphate
    0.77
    Activations Density 0.012%

    No Known Activations