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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. 15392
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    Explanations

    references to figures with high social status or wealth

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with martyrdom and wealth

    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
    erion
    -0.73
    esian
    -0.73
    krit
    -0.70
    orius
    -0.69
    ively
    -0.68
    arian
    -0.66
    ebook
    -0.66
    itutional
    -0.65
    ique
    -0.64
     EW
    -0.63
    POSITIVE LOGITS
    ptoms
    0.82
    doms
    0.80
    pton
    0.80
    dom
    0.76
    sym
    0.75
    tom
    0.71
    ature
    0.70
    intage
    0.70
    sie
    0.69
    izons
    0.68
    Activations Density 0.022%

    No Known Activations