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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
    11. 21065
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    Explanations

    character names

    oai_token-act-pair · gpt-3.5-turbo

    references to characters in various contexts

    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
    IDA
    -0.68
     Mother
    -0.66
    IED
    -0.65
    Trend
    -0.63
    lic
    -0.62
     Bild
    -0.61
     Truth
    -0.61
    FA
    -0.61
    ower
    -0.60
     Wass
    -0.59
    POSITIVE LOGITS
    acters
    1.57
     characters
    1.22
     Characters
    1.04
     charact
    1.02
     chars
    0.90
     arcs
    0.89
    ãĤ¼ãĤ¦ãĤ¹
    0.85
     costumes
    0.81
    psons
    0.81
     character
    0.79
    Activations Density 0.012%

    No Known Activations