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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. 7-RES-JB
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    Explanations

    verbs related to criminal activities, particularly robbery and related actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to theft and robbery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mite
    -0.86
    ndra
    -0.75
    STD
    -0.73
    nat
    -0.72
    gal
    -0.70
    ç¥ŀ
    -0.70
    rite
    -0.69
    ++++++++++++++++
    -0.69
    mates
    -0.67
    hern
    -0.67
    POSITIVE LOGITS
     robbery
    1.01
     robberies
    1.00
     spree
    0.90
     rob
    0.89
    sters
    0.84
    ometry
    0.83
     robbing
    0.81
    eering
    0.81
    onet
    0.80
    bery
    0.78
    Activations Density 0.028%

    No Known Activations