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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. 7-RES-JB
    11. 20868
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    Explanations

    references to the telecommunications company AT&T

    oai_token-act-pair · gpt-3.5-turbo

    ampersands (&) and related references to partnerships or affiliations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vomiting
    -0.69
     pods
    -0.68
     prol
    -0.65
     clutch
    -0.63
     diam
    -0.63
     blur
    -0.63
    erva
    -0.62
     lucid
    -0.62
     rhy
    -0.62
     ejected
    -0.61
    POSITIVE LOGITS
    HI
    0.80
    tis
    0.80
    rex
    0.79
    Mobile
    0.79
    Corp
    0.79
    TA
    0.79
    CT
    0.78
    Cs
    0.78
    Wan
    0.78
    NI
    0.78
    Activations Density 0.014%

    No Known Activations