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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. 4-RES-JB
    11. 18506
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of offensiveness

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

    No Comments

    Negative Logits
    along
    -0.77
    rows
    -0.73
    outer
    -0.72
    ipe
    -0.69
    bott
    -0.67
    quart
    -0.66
    wright
    -0.65
    grain
    -0.65
    dor
    -0.65
    rang
    -0.64
    POSITIVE LOGITS
    ifiable
    0.85
     blasphemy
    0.80
     enough
    0.78
     adultery
    0.72
    entimes
    0.71
     Miko
    0.71
     heresy
    0.69
     anymore
    0.68
     distur
    0.67
     expend
    0.67
    Activations Density 0.233%

    No Known Activations