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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. 4327
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    Explanations

    numerical words related to masses of people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of large groups of people

    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
     hegemony
    -0.67
     symmetry
    -0.66
     fixation
    -0.65
     stagnation
    -0.61
    heimer
    -0.60
     Sense
    -0.60
    bones
    -0.60
    cer
    -0.59
    enders
    -0.59
    Theme
    -0.59
    POSITIVE LOGITS
     thousands
    0.88
     ILCS
    0.86
     Thousands
    0.80
    ourcing
    0.80
    ousands
    0.80
     kilometers
    0.79
     miles
    0.78
    ourced
    0.77
     millions
    0.76
     hectares
    0.74
    Activations Density 0.020%

    No Known Activations