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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. 16577
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    Explanations

    numbers related to significant achievements or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "event."

    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
    accompan
    -0.75
     challeng
    -0.75
    head
    -0.66
     proximity
    -0.65
    ãģĨ
    -0.63
    HEAD
    -0.62
     cumbers
    -0.61
    ISON
    -0.59
    CHR
    -0.59
    Else
    -0.58
    POSITIVE LOGITS
    eers
    1.09
    urous
    1.05
    ricular
    1.03
    vent
    1.01
    eenth
    1.00
    eer
    0.99
    acular
    0.97
    urtle
    0.96
    ilation
    0.94
    reprene
    0.93
    Activations Density 0.009%

    No Known Activations