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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. 9-RES-JB
    11. 23758
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    INDEX
    Explanations

    words related to occupations or titles followed by non-specific action verbs

    oai_token-act-pair · gpt-3.5-turbo

    references to specific groups of people or professions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tropical
    -0.79
    Thumbnail
    -0.67
    mone
    -0.65
    Minecraft
    -0.61
    orie
    -0.59
    croft
    -0.59
    à
    -0.58
    efully
    -0.58
     Caption
    -0.58
    ̶
    -0.58
    POSITIVE LOGITS
    '
    0.97
     who
    0.96
     themselves
    0.93
     complain
    0.89
     prefer
    0.77
     wishing
    0.77
     are
    0.76
    peak
    0.76
    hips
    0.76
     aren
    0.75
    Activations Density 0.397%

    No Known Activations