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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. 2671
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    Explanations

    words related to early timing or scheduling

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "early" and related terms

    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
    ichick
    -0.69
    SourceFile
    -0.69
    atu
    -0.68
    atism
    -0.68
    retched
    -0.67
    rawled
    -0.67
    ittee
    -0.66
    =-=-=-=-=-=-=-=-
    -0.63
    ĸļ
    -0.63
     Canaver
    -0.62
    POSITIVE LOGITS
     adop
    1.16
     indications
    1.01
     stages
    1.00
     morning
    0.98
     mornings
    0.97
    bird
    0.91
     onset
    0.89
     retirement
    0.86
    Bird
    0.85
     warning
    0.85
    Activations Density 0.049%

    No Known Activations