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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. 20807
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    Explanations

    phrases related to strong emotions and states of being

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to challenges and discomfort

    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
     coh
    -0.65
     practition
    -0.63
     newcom
    -0.62
    ãĥ©ãĥ³
    -0.62
     sugg
    -0.61
     festive
    -0.61
    å¸
    -0.60
    ò
    -0.59
     jaw
    -0.59
     captcha
    -0.57
    POSITIVE LOGITS
    !--
    0.90
     nonetheless
    0.88
     anyways
    0.85
     anyway
    0.82
    hood
    0.81
    nesses
    0.79
     ain
    0.79
     itself
    0.78
    selves
    0.75
     alike
    0.75
    Activations Density 0.609%

    No Known Activations