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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. 6-RES-JB
    11. 24370
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    Explanations

    words related to theft and unauthorized acquisition of property

    oai_token-act-pair · gpt-3.5-turbo

    terms related to theft and related criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.72
    aeda
    -0.70
    LESS
    -0.69
    xus
    -0.68
    ellen
    -0.68
    alist
    -0.67
    assadors
    -0.65
    akeru
    -0.65
    SPA
    -0.65
    realDonaldTrump
    -0.65
    POSITIVE LOGITS
     Theft
    0.95
     theft
    0.80
     spree
    0.78
     thefts
    0.78
     thief
    0.77
     unfocusedRange
    0.76
     collectors
    0.75
    adoes
    0.75
     thieves
    0.73
    picking
    0.65
    Activations Density 0.029%

    No Known Activations