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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
    11. 4656
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    Explanations

    phrases where the word "literally" is used intensively

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "literally" used to emphasize descriptions

    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
    ies
    -0.80
    winner
    -0.78
    icipated
    -0.77
    lings
    -0.72
    eway
    -0.70
    ramid
    -0.69
    taker
    -0.68
    iem
    -0.68
    resses
    -0.67
     Klu
    -0.67
    POSITIVE LOGITS
    Ń·
    0.77
    ãĤ§
    0.70
     reinvent
    0.66
     invented
    0.66
    terday
    0.66
    ãĤ¡
    0.65
    ा
    0.65
    UNCH
    0.64
    Buyable
    0.63
    ADRA
    0.63
    Activations Density 0.008%

    No Known Activations