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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. 13918
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    Explanations

    mention of rules, guidelines, or agreements in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

    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
    ãĤ¦ãĤ¹
    -0.85
    ¬¼
    -0.85
    ":"/
    -0.82
    ãĥĥãĥĪ
    -0.75
    oward
    -0.74
    ppo
    -0.73
    izen
    -0.71
    ageddon
    -0.70
    ½
    -0.70
    ²¾
    -0.69
    POSITIVE LOGITS
     including
    1.08
     which
    0.98
     includ
    0.96
     plus
    0.92
     namely
    0.92
     wherein
    0.90
     whereas
    0.88
     albeit
    0.81
     followed
    0.81
     culminating
    0.79
    Activations Density 0.457%

    No Known Activations