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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. 3-RES-JB
    11. 2959
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    Explanations

    cities or locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "more" and its variations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.76
     asymm
    -0.74
     resil
    -0.74
     warr
    -0.73
     surviv
    -0.72
     multic
    -0.70
     critical
    -0.69
     satell
    -0.68
    Recomm
    -0.68
     prudent
    -0.68
    POSITIVE LOGITS
    rette
    0.94
    ius
    0.85
    chuk
    0.84
    sson
    0.82
    idis
    0.80
    hyde
    0.78
    eland
    0.78
     Township
    0.77
    hess
    0.77
    neau
    0.76
    Activations Density 0.159%

    No Known Activations