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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. 7-RES-JB
    11. 7357
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    Explanations

    adjectives describing characteristics of people or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating emotional connections and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    etheless
    -0.68
    utterstock
    -0.58
     respectively
    -0.58
     unsurprisingly
    -0.55
    described
    -0.54
    arthed
    -0.53
    Multi
    -0.52
    odox
    -0.51
    ãĥĥãĥĪ
    -0.51
     ostensibly
    -0.50
    POSITIVE LOGITS
     âĢ¦"
    1.10
    !"
    1.09
    ?"
    1.03
    .")
    0.99
    ?!"
    0.98
    )"
    0.94
    !'"
    0.94
     ..."
    0.94
     fuckin
    0.90
    !!"
    0.89
    Activations Density 1.221%

    No Known Activations