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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. 6-RES-JB
    11. 2761
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    Explanations

    mentions of repetition or continuity of actions or events

    oai_token-act-pair · gpt-3.5-turbo

    references to additional occurrences or repetitions of events or objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liest
    -0.73
    isters
    -0.73
    lee
    -0.72
    hips
    -0.70
    alties
    -0.70
    Cu
    -0.66
    Always
    -0.65
    oes
    -0.65
    onies
    -0.64
    DOS
    -0.64
    POSITIVE LOGITS
    worldly
    1.30
     dimension
    0.87
     unnamed
    0.79
     notch
    0.78
     batch
    0.77
     installment
    0.75
    ļéĨĴ
    0.74
     layer
    0.74
     playthrough
    0.72
     unidentified
    0.71
    Activations Density 0.053%

    No Known Activations