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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. 4-RES-JB
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    Explanations

    the word "ate" with varying details and contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of substances or materials, particularly those associated with consumption or use

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

    No Comments

    Negative Logits
    ingen
    -0.86
    BuyableInstoreAndOnline
    -0.77
    nob
    -0.75
    enhagen
    -0.74
    enegger
    -0.74
    wagon
    -0.72
    sung
    -0.71
    endon
    -0.70
    ĸļ
    -0.70
    ighter
    -0.69
    POSITIVE LOGITS
    rers
    1.06
    chnology
    1.01
    rer
    0.80
    able
    0.79
    lier
    0.76
    llular
    0.73
    ctic
    0.71
    lled
    0.69
     nucleus
    0.67
    rete
    0.67
    Activations Density 0.044%

    No Known Activations