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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. 10-RES-JB
    11. 12208
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    Explanations

    pronouns 'he' and 'she' in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals, particularly focusing on the pronouns related to them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hindsight
    -0.66
    veyard
    -0.65
    were
    -0.60
    actionDate
    -0.55
    ntil
    -0.54
    ò
    -0.53
    sembly
    -0.52
    paragraph
    -0.52
     tradem
    -0.52
    rame
    -0.52
    POSITIVE LOGITS
     wants
    1.52
     knows
    1.47
     prefers
    1.46
     thinks
    1.43
     enjoys
    1.40
     understands
    1.40
     intends
    1.40
     loves
    1.39
     chooses
    1.37
     hates
    1.37
    Activations Density 0.242%

    No Known Activations