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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. 3-RES-JB
    11. 13300
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    INDEX
    Explanations

    years or timeframes indicated in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and their events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umblr
    -0.74
     personalities
    -0.72
    itialized
    -0.66
     drawings
    -0.62
     confir
    -0.61
     descriptions
    -0.61
    abet
    -0.61
     gly
    -0.60
     caric
    -0.60
     Controls
    -0.58
    POSITIVE LOGITS
    cture
    0.81
    eteenth
    0.69
    stand
    0.67
    fal
    0.64
    bush
    0.64
    long
    0.64
    pler
    0.63
    morning
    0.63
    dayName
    0.63
     Jinping
    0.62
    Activations Density 0.110%

    No Known Activations