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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. 14093
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    Explanations

    phrases indicating causation or assigning blame

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate causation or attribution of responsibility

    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
    apest
    -0.94
    ŃĶ
    -0.90
    imensional
    -0.89
    igm
    -0.87
    ©¶æ¥µ
    -0.87
    ensable
    -0.85
    ourse
    -0.84
    yan
    -0.84
    ighth
    -0.83
    utical
    -0.83
    POSITIVE LOGITS
     faulty
    1.26
     inexper
    1.26
     negligence
    1.15
     inaction
    1.14
     incompetence
    1.12
     misunderstanding
    1.11
     lack
    1.09
     ignorance
    1.09
     insufficient
    1.04
     improper
    1.03
    Activations Density 0.238%

    No Known Activations