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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. 14787
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    Explanations

    phrases or proper nouns related to specific locations or identifiers

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and names associated with the automotive industry

    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
    terday
    -0.76
    ̶
    -0.70
    andestine
    -0.68
    OPLE
    -0.68
     Jav
    -0.67
    ournal
    -0.66
    xual
    -0.66
    Magikarp
    -0.65
    lihood
    -0.65
    chnology
    -0.64
    POSITIVE LOGITS
     Gund
    1.07
    elta
    1.03
    auld
    0.84
    ersen
    0.82
    otal
    0.80
    anium
    0.80
    iat
    0.78
    alo
    0.78
    alus
    0.76
    ains
    0.75
    Activations Density 0.008%

    No Known Activations