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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. 9-RES-JB
    11. 5023
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    Explanations

    personal reasons or motivations

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and references to personal or collective identity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sqor
    -0.80
    dds
    -0.69
     ILCS
    -0.67
    eatures
    -0.67
     courtesy
    -0.63
    orage
    -0.62
     consolation
    -0.61
     unden
    -0.61
    oret
    -0.60
    FORMATION
    -0.60
    POSITIVE LOGITS
     chose
    1.10
     bother
    0.87
     bothered
    0.84
     Matters
    0.81
     bothers
    0.80
    why
    0.80
     couldn
    0.79
     exists
    0.78
     mattered
    0.78
     decided
    0.77
    Activations Density 0.170%

    No Known Activations