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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. 9-RES-JB
    11. 1804
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    Explanations

    phrases indicating providing information or clarification

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce scenarios or conditional statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nomine
    -0.66
    osa
    -0.62
    borg
    -0.61
     commod
    -0.60
     First
    -0.60
    Same
    -0.58
     Maj
    -0.58
    Form
    -0.57
    antle
    -0.56
     Lead
    -0.56
    POSITIVE LOGITS
     wondering
    1.04
     forgot
    0.94
     hadn
    0.93
     wondered
    0.89
     missed
    0.82
     skipped
    0.79
     haven
    0.79
     unfamiliar
    0.78
     curious
    0.76
     didnt
    0.73
    Activations Density 0.122%

    No Known Activations