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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. 2-RES-JB
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    Explanations

    the word "flats"

    oai_token-act-pair · gpt-3.5-turbo

    references to flats and flat-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EMENT
    -0.79
    ADRA
    -0.74
    ãĤ±
    -0.73
    anwhile
    -0.73
    sers
    -0.67
    VERTIS
    -0.67
    lia
    -0.67
    Æ
    -0.67
    anson
    -0.66
    emonic
    -0.65
    POSITIVE LOGITS
    creen
    1.19
     flats
    1.00
    flat
    0.95
    bread
    0.92
    rib
    0.91
    pak
    0.89
    oyd
    0.87
     Flat
    0.86
    bush
    0.83
    fall
    0.80
    Activations Density 0.006%

    No Known Activations