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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. 1-RES-JB
    11. 8945
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    Explanations

    phrases referring to groups of people or individuals

    oai_token-act-pair · gpt-3.5-turbo

    the word "who" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ³³³³
    -0.73
    MER
    -0.68
     Bound
    -0.67
    BACK
    -0.66
    ANC
    -0.64
     Due
    -0.63
     Delicious
    -0.61
    END
    -0.61
    âĶĢâĶĢâĶĢâĶĢ
    -0.61
     Processing
    -0.61
    POSITIVE LOGITS
    soever
    1.15
    oped
    0.86
    oping
    0.84
     preceded
    0.82
    ever
    0.82
    atever
    0.82
    iage
    0.80
    raltar
    0.78
     attended
    0.77
     accompanies
    0.76
    Activations Density 0.133%

    No Known Activations