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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. 5632
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    Explanations

    phrases related to criticism or controversy

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pricing and keyword-related products or brands

    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
    £ı
    -0.73
     Standing
    -0.64
    ufact
    -0.62
     tert
    -0.62
     referen
    -0.61
     newcom
    -0.60
    ãĤ´
    -0.59
    ©¶æ
    -0.59
    ¿½
    -0.59
     acute
    -0.59
    POSITIVE LOGITS
    ecake
    0.95
    wald
    0.79
    worm
    0.79
    apeake
    0.76
    lain
    0.75
    nels
    0.74
    cuts
    0.74
    idious
    0.74
    zilla
    0.73
    zb
    0.73
    Activations Density 0.090%

    No Known Activations