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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. 8-RES-JB
    11. 346
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    Explanations

    key information or attributes related to a certain subject, such as critical aspects, characteristics, or significant occurrences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the quality or effectiveness of an object or concept

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idth
    -0.69
    iesta
    -0.66
     hello
    -0.66
    berra
    -0.64
    ustration
    -0.64
     Legislature
    -0.62
     Misc
    -0.60
    acion
    -0.60
    eties
    -0.60
    fixes
    -0.58
    POSITIVE LOGITS
     unsu
    1.09
     susceptible
    0.99
     uniquely
    0.92
     unlikely
    0.87
     unus
    0.87
     ineligible
    0.87
    inently
    0.87
     vulnerable
    0.85
     ripe
    0.84
     unfit
    0.84
    Activations Density 0.138%

    No Known Activations