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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. 2-RES-JB
    11. 1959
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    Explanations

    programming code snippets or commands

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically quotation marks and parentheses, indicating dialogue or references to titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    houses
    -0.68
    arest
    -0.67
    shaw
    -0.66
    gart
    -0.66
     Dull
    -0.65
     arsen
    -0.65
    gard
    -0.61
    ĻĤ
    -0.60
    cule
    -0.60
    het
    -0.59
    POSITIVE LOGITS
    terday
    0.82
    odox
    0.75
    ":[
    0.73
    /"
    0.70
    oice
    0.68
    :{
    0.67
    ONSORED
    0.66
    Lenin
    0.65
    immune
    0.65
    LAB
    0.64
    Activations Density 0.010%

    No Known Activations