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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. 4175
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    Explanations

    references to businessmen with varying degrees of importance or distinction

    oai_token-act-pair · gpt-3.5-turbo

    references to businessmen and their activities

    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
    plings
    -0.74
    elt
    -0.70
    liam
    -0.70
    yss
    -0.69
    rawdownloadcloneembedreportprint
    -0.68
    antic
    -0.67
    encing
    -0.67
    raints
    -0.67
    alling
    -0.65
    ificant
    -0.64
    POSITIVE LOGITS
     businessman
    0.85
     mogul
    0.80
     empire
    0.71
    dinand
    0.70
     who
    0.66
    ccoli
    0.66
     Franch
    0.64
    reprene
    0.64
     negotiator
    0.64
     businessmen
    0.64
    Activations Density 0.022%

    No Known Activations