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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. 3-RES-JB
    11. 5353
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    Explanations

    numbers related to records or achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to achievement metrics or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atern
    -0.79
    yg
    -0.78
    uana
    -0.76
    adh
    -0.73
    ge
    -0.71
    bara
    -0.70
    cart
    -0.70
    live
    -0.70
    yang
    -0.68
    spr
    -0.68
    POSITIVE LOGITS
     record
    1.08
     Record
    0.97
     records
    0.91
     breaker
    0.87
    record
    0.83
     Records
    0.79
    Record
    0.76
     highs
    0.76
     recorder
    0.72
     streak
    0.71
    Activations Density 0.026%

    No Known Activations