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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. 14013
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    Explanations

    interrogative sentences with a hint of urgency or importance

    oai_token-act-pair · gpt-3.5-turbo

    questions and interactions involving uncertainty or confusion

    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
    isexual
    -0.76
    etheless
    -0.72
    ãĥĺãĥ©
    -0.69
    aukee
    -0.66
    amorph
    -0.65
    urgical
    -0.64
    assad
    -0.64
    eneg
    -0.63
    âĹı
    -0.63
    á
    -0.62
    POSITIVE LOGITS
     crap
    0.80
     whining
    0.80
     hoping
    0.78
     messing
    0.76
     scare
    0.71
     complaining
    0.71
     ruining
    0.71
     crappy
    0.71
     pretending
    0.69
     sneaky
    0.69
    Activations Density 1.752%

    No Known Activations