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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. 0-RES-JB
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    Explanations

    names of specific individuals, particularly focusing on last names such as "Mercer" and "Elon"

    oai_token-act-pair · gpt-3.5-turbo

    names of people and organizations associated with a specific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pixie
    -0.83
     Fib
    -0.75
     Django
    -0.74
     Telephone
    -0.74
    ijk
    -0.73
     Po
    -0.73
     sus
    -0.71
    ADA
    -0.70
    atorium
    -0.70
    Po
    -0.69
    POSITIVE LOGITS
     Mercer
    2.14
     Mech
    1.88
     Elon
    1.83
     mech
    1.67
     McMaster
    1.63
    Mech
    1.22
     Kers
    1.13
     Evangel
    1.10
     Arlington
    1.06
     Grimes
    1.06
    Activations Density 0.082%

    No Known Activations