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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. 1-RES-JB
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    Explanations

    words related to extraordinary or remarkable experiences

    oai_token-act-pair · gpt-3.5-turbo

    the term "extraordinary" and its context within a variety of situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.98
    rio
    -0.78
    ËĪ
    -0.75
    PD
    -0.74
    gage
    -0.72
    hr
    -0.70
    hm
    -0.70
    nee
    -0.70
    src
    -0.70
    Ķ
    -0.69
    POSITIVE LOGITS
    ordinary
    1.19
     extraordinary
    1.00
     rendition
    0.95
     talents
    0.85
     heroism
    0.84
    ruciating
    0.84
     unbeliev
    0.81
    cffffcc
    0.78
     coincidence
    0.77
     beasts
    0.77
    Activations Density 0.007%

    No Known Activations