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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. 4-RES-JB
    11. 24058
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "was."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     antioxid
    -0.68
     variables
    -0.64
    objects
    -0.63
    arming
    -0.61
     invocation
    -0.61
    ological
    -0.60
    arms
    -0.59
    holders
    -0.59
    Footnote
    -0.59
    arta
    -0.58
    POSITIVE LOGITS
    hes
    1.03
     originally
    0.91
    wolves
    0.90
     born
    0.86
    wolf
    0.84
     able
    0.83
    hers
    0.82
     briefed
    0.82
     greeted
    0.76
     hailed
    0.75
    Activations Density 0.372%

    No Known Activations