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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. 8-RES-JB
    11. 3306
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    INDEX
    Explanations

    percentages and numerical figures

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to financial percentages and changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alienation
    -0.62
     narciss
    -0.62
     Converted
    -0.61
    ivia
    -0.59
     insecurity
    -0.58
     forgiven
    -0.56
     vanity
    -0.56
     dissatisfaction
    -0.55
     recourse
    -0.55
     Situation
    -0.54
    POSITIVE LOGITS
    uously
    1.13
    mins
    0.93
    aciously
    0.93
    bp
    0.92
    th
    0.91
     times
    0.88
    ½
    0.83
    ft
    0.81
    pt
    0.81
    lbs
    0.81
    Activations Density 0.133%

    No Known Activations