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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. 4024
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    Explanations

    phrases related to specific actions or topics with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific processes or results in various contexts

    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
    etting
    -0.70
    makers
    -0.68
     Ago
    -0.67
    forth
    -0.64
     Halls
    -0.63
    ships
    -0.59
    gling
    -0.59
    nings
    -0.59
    esville
    -0.58
    etter
    -0.57
    POSITIVE LOGITS
    anced
    0.71
    Pinterest
    0.64
    ancing
    0.61
     metic
    0.60
    ĵĺ
    0.59
    undred
    0.59
     guessed
    0.57
    Arcade
    0.57
    uyomi
    0.57
    reprene
    0.55
    Activations Density 0.219%

    No Known Activations