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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. 10-RES-JB
    11. 6458
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    Explanations

    times in a specific format within a text

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and time representations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .–
    -0.63
    _>
    -0.58
    omething
    -0.58
    usp
    -0.56
    allo
    -0.55
    .-
    -0.55
    nesday
    -0.55
    inelli
    -0.55
    -->
    -0.55
    #$
    -0.54
    POSITIVE LOGITS
    ,
    0.73
    İĭ
    0.67
     dstg
    0.64
     808
    0.61
     births
    0.60
    276
    0.58
    125
    0.58
     guiActiveUn
    0.57
     608
    0.56
     737
    0.55
    Activations Density 0.053%

    No Known Activations