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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. 6-RES-JB
    11. 2888
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    end-of-text markers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     concess
    -0.69
     scrut
    -0.66
    iden
    -0.61
    ŃĶ
    -0.61
    ĺħ
    -0.60
    isse
    -0.60
    igslist
    -0.59
     bowel
    -0.58
    opsis
    -0.57
    pill
    -0.57
    POSITIVE LOGITS
    vernment
    1.08
    iants
    0.96
    glers
    0.96
    roups
    0.90
    ORGE
    0.89
    raphic
    0.87
    hetto
    0.83
    rets
    0.83
    irlfriend
    0.82
    stones
    0.82
    Activations Density 0.128%

    No Known Activations