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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
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    Explanations

    descriptions of criminal activities involving men

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals, particularly men and women, in various contexts

    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
    çļ
    -0.80
    ocratic
    -0.75
    ellect
    -0.73
    âĶĢâĶĢâĶĢâĶĢ
    -0.72
    ãĤ¦
    -0.67
     Journals
    -0.65
    aeda
    -0.65
    ffee
    -0.65
     dragons
    -0.64
    ocrats
    -0.64
    POSITIVE LOGITS
    hunt
    0.98
     suspic
    0.82
     SWAT
    0.80
    endez
    0.79
    nered
    0.79
     videot
    0.78
     who
    0.77
     suspected
    0.77
     assailant
    0.75
     accused
    0.75
    Activations Density 0.166%

    No Known Activations