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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. 2745
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    Explanations

    high-energy and intense descriptions or actions

    oai_token-act-pair · gpt-3.5-turbo

    intense adjectives and verbs that convey speed, excitement, or high energy

    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
    »Ĵ
    -0.78
    arij
    -0.68
    ©¶æ
    -0.68
    saf
    -0.67
    wich
    -0.65
    heastern
    -0.65
    lict
    -0.65
     deceased
    -0.65
    lace
    -0.64
    nown
    -0.64
    POSITIVE LOGITS
     adrenaline
    1.19
     excitement
    1.14
     enthusiasm
    1.05
     anticipation
    0.98
     passions
    0.98
     passion
    0.97
     adren
    0.93
     fury
    0.93
     applause
    0.89
     sensations
    0.87
    Activations Density 0.419%

    No Known Activations