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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. 8899
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    Explanations

    numbers in the format of ages

    oai_token-act-pair · gpt-3.5-turbo

    mentions of age-specific demographics or related statistics

    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
     incorpor
    -0.67
     caut
    -0.58
     Fey
    -0.55
     Hawks
    -0.53
     advoc
    -0.52
     Balkans
    -0.51
     Hearth
    -0.51
    0002
    -0.50
     fif
    -0.50
     committees
    -0.49
    POSITIVE LOGITS
     onto
    0.68
    kamp
    0.63
    enery
    0.61
     anytime
    0.61
    obyl
    0.61
    ulhu
    0.59
     lately
    0.58
     afloat
    0.58
     anymore
    0.57
    RNA
    0.57
    Activations Density 1.054%

    No Known Activations