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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8777
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    Explanations

    personal pronouns 'I' or 'I'm'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the pronoun "I" indicating personal expression or perspective

    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
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    No Comments

    Negative Logits
     adhesive
    -0.68
     selves
    -0.64
     markings
    -0.64
     electromagnetic
    -0.62
     deeds
    -0.62
     souls
    -0.60
     ingred
    -0.59
     ç¥ŀ
    -0.59
     membrane
    -0.59
     unfocusedRange
    -0.58
    POSITIVE LOGITS
    'm
    1.14
    've
    1.08
    ronic
    1.04
    xtap
    1.03
    vana
    1.02
    nex
    1.02
     suppose
    1.02
    'll
    0.98
    rina
    0.98
    deals
    0.98
    Activations Density 0.146%

    No Known Activations