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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. 13446
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    Explanations

    names of places

    oai_token-act-pair · gpt-3.5-turbo

    repeated characters or letter patterns in text

    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
     priceless
    -0.59
     Wonderland
    -0.57
     breakthrough
    -0.55
    oxide
    -0.55
     bombshell
    -0.54
    USER
    -0.54
     escal
    -0.54
     dosage
    -0.54
    nw
    -0.53
    kamp
    -0.53
    POSITIVE LOGITS
    dden
    0.77
    atche
    0.73
    aceous
    0.72
    Put
    0.70
    ulhu
    0.69
    ody
    0.68
    rir
    0.68
     Ink
    0.67
    ryn
    0.66
    zb
    0.66
    Activations Density 0.165%

    No Known Activations