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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. 4-RES-JB
    6. 10620
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    Explanations

    first-person singular pronouns followed by modal verbs

    oai_token-act-pair · gpt-3.5-turbo

    first-person pronouns and expressions of personal thoughts or intentions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    adra
    -0.84
    ante
    -0.69
    iment
    -0.69
    mentioned
    -0.66
    holding
    -0.64
    Footnote
    -0.64
    Same
    -0.63
    catentry
    -0.62
     reminders
    -0.62
    edition
    -0.60
    POSITIVE LOGITS
    osaurs
    0.79
    ovie
    0.78
    iuses
    0.69
    uchi
    0.65
    uin
    0.64
    usha
    0.64
     Bout
    0.62
    ould
    0.61
     RAND
    0.61
     provoking
    0.61
    Activations Density 0.196%

    No Known Activations