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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. 7-RES-JB
    11. 130
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    Explanations

    the word "focus" and words associated with it

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢł
    -0.75
    VICE
    -0.72
    trip
    -0.72
    adays
    -0.69
    iac
    -0.68
    buster
    -0.67
    SPONSORED
    -0.66
    check
    -0.66
    leased
    -0.65
    EXP
    -0.65
    POSITIVE LOGITS
     possibility
    1.30
     specifics
    1.03
     slightest
    1.02
     latter
    1.02
     notion
    1.00
     plight
    1.00
     smallest
    0.99
     nuances
    0.98
     same
    0.97
     positives
    0.96
    Activations Density 0.362%

    No Known Activations