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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. 20508
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    Explanations

    comparative adjectives ending in 'er'

    oai_token-act-pair · gpt-3.5-turbo

    comparative adjectives and their variations

    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
    pta
    -0.74
    EP
    -0.71
    ainted
    -0.69
    chwitz
    -0.66
    YR
    -0.65
    HF
    -0.63
    Stars
    -0.62
    GP
    -0.62
    ela
    -0.62
     Gazette
    -0.62
    POSITIVE LOGITS
     than
    1.31
    than
    1.18
     Than
    1.15
     "$:/
    0.92
    iating
    0.85
    izont
    0.81
    thumbnails
    0.75
    ocious
    0.70
     ado
    0.69
    idge
    0.69
    Activations Density 0.080%

    No Known Activations