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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. 2-RES-JB
    11. 5581
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    Explanations

    words related to criminal activities or strong negative actions

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "want."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CHR
    -0.83
    STON
    -0.75
    MET
    -0.73
    parable
    -0.73
    GV
    -0.71
    functional
    -0.70
    ny
    -0.68
    soDeliveryDate
    -0.68
    士
    -0.68
    batch
    -0.67
    POSITIVE LOGITS
    anted
    0.91
    terday
    0.81
    ishly
    0.73
    iary
    0.73
    upid
    0.69
    zsche
    0.69
    acular
    0.68
    heres
    0.67
    okemon
    0.67
     onwards
    0.66
    Activations Density 0.017%

    No Known Activations