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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. 9-RES-JB
    11. 22625
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    Explanations

    technical information and instructions

    oai_token-act-pair · gpt-3.5-turbo

    specific information related to technology and documentation, particularly about security settings and updates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    laughter
    -0.70
     unworthy
    -0.70
    die
    -0.63
    rir
    -0.62
    akia
    -0.62
    nil
    -0.62
    lez
    -0.61
    uka
    -0.60
    Laughs
    -0.60
    omas
    -0.60
    POSITIVE LOGITS
     details
    1.40
     detailed
    1.28
     outlines
    1.21
     info
    1.19
     outline
    1.17
     information
    1.16
     rundown
    1.16
     overview
    1.14
     timet
    1.12
     detailing
    1.11
    Activations Density 1.098%

    No Known Activations