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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. 7494
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    Explanations

    descriptions related to physical attributes of objects or places

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize conjunctions and connections between ideas

    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
    enth
    -0.83
    uda
    -0.80
    adow
    -0.79
    queue
    -0.79
    aez
    -0.78
    matter
    -0.78
    wark
    -0.77
    oti
    -0.75
    ãĤ¨ãĥ«
    -0.75
    opol
    -0.74
    POSITIVE LOGITS
     ample
    1.13
     abundant
    1.12
     hefty
    1.12
     generous
    1.10
     penchant
    1.10
     impecc
    1.09
     unparalleled
    1.08
     extensive
    1.06
     scant
    1.06
     plentiful
    1.04
    Activations Density 0.358%

    No Known Activations