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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. 15824
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    Explanations

    sentences describing a state of being or an action taken

    oai_token-act-pair · gpt-3.5-turbo

    themes related to life-or-death situations

    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
    Firstly
    -0.77
     Whilst
    -0.70
     Firstly
    -0.64
     ðŁĺ
    -0.57
     whilst
    -0.57
     haha
    -0.56
    [/
    -0.56
     Yep
    -0.55
     honour
    -0.55
    .#
    -0.53
    POSITIVE LOGITS
    armor
    0.53
    ichever
    0.53
     restitution
    0.50
    hovah
    0.50
    avez
    0.50
    urance
    0.50
    rely
    0.49
    ologic
    0.49
     nonex
    0.48
    cellaneous
    0.47
    Activations Density 1.931%

    No Known Activations