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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
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    Explanations

    references to social media platforms where content is posted

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "posted" and its variants in relation to social media context

    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
    rats
    -0.73
    acter
    -0.70
    çĶ°
    -0.68
    Abstract
    -0.68
    ¯¯
    -0.67
     circumcised
    -0.63
    lement
    -0.62
     ens
    -0.62
     rendition
    -0.61
     wrench
    -0.60
    POSITIVE LOGITS
     behalf
    1.30
    site
    1.05
    demand
    1.01
     Pastebin
    1.01
     Twitter
    0.95
     Github
    0.95
    yx
    0.94
     YouTube
    0.94
     Youtube
    0.92
     facebook
    0.92
    Activations Density 0.190%

    No Known Activations