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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. 11-RES-JB
    11. 21781
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    Explanations

    terms related to receiving or achieving something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of repetitive actions or phrases indicating recurrence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Principle
    -0.69
     Tanz
    -0.65
     srfAttach
    -0.63
     Beginning
    -0.62
     Seeking
    -0.60
    Fall
    -0.60
    haus
    -0.59
     Casting
    -0.58
     Presence
    -0.58
    orney
    -0.58
    POSITIVE LOGITS
     rid
    1.05
    tin
    0.94
     progressively
    0.92
     eaten
    0.89
     tossed
    0.88
     worse
    0.87
     overlooked
    0.87
     hammered
    0.86
     reused
    0.85
     recycled
    0.83
    Activations Density 0.062%

    No Known Activations