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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. 7-RES-JB
    11. 11031
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    Explanations

    adverbs and adjectives related to progression and continuity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to progression and continuity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onom
    -0.98
    mouth
    -0.81
    onomic
    -0.79
    lands
    -0.76
    animous
    -0.74
    bold
    -0.74
    lance
    -0.72
    ocard
    -0.70
    geon
    -0.69
    posing
    -0.69
    POSITIVE LOGITS
     periods
    0.85
     intervals
    0.85
     periodic
    0.84
     alternating
    0.84
     installments
    0.82
     stages
    0.81
     phases
    0.80
    issance
    0.77
    iferation
    0.75
     phased
    0.75
    Activations Density 0.085%

    No Known Activations