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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. 24065
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    Explanations

    programming-related entities, likely focusing on SQL

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'S' 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
    ãĤ¡
    -0.75
    EStream
    -0.70
    ãĥ£
    -0.70
    puter
    -0.70
     techno
    -0.66
     unrestricted
    -0.65
    EStreamFrame
    -0.65
     reimb
    -0.63
     CPR
    -0.63
     unaccompanied
    -0.62
    POSITIVE LOGITS
    ESSION
    1.15
    RS
    1.07
    ustain
    0.99
    igma
    0.99
    ierra
    0.97
    SA
    0.96
    herry
    0.96
    SE
    0.95
    OUND
    0.94
    ADA
    0.93
    Activations Density 0.045%

    No Known Activations