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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. 3738
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    Explanations

    strings of characters that appear to be code or technical details

    oai_token-act-pair · gpt-3.5-turbo

    specific symbols or coding patterns, particularly related to technology or regulatory elements

    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
    alion
    -0.72
    ruary
    -0.71
    Ö¼
    -0.61
    shire
    -0.61
    ç·
    -0.59
    alogue
    -0.55
    rador
    -0.54
    acles
    -0.53
     ausp
    -0.50
    abase
    -0.50
    POSITIVE LOGITS
    upload
    0.65
    unic
    0.60
     Sensor
    0.58
    upp
    0.55
    weapons
    0.55
    united
    0.54
    biology
    0.54
    gov
    0.53
    ãĥĺãĥ©
    0.53
    uria
    0.53
    Activations Density 0.873%

    No Known Activations