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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. 2-RES-JB
    11. 20753
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    Explanations

    words related to specific objects or items

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to specific subjects and entities in a variety of contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĢº
    -0.62
    -------------
    -0.56
    ----
    -0.54
    hov
    -0.54
     largeDownload
    -0.54
     Rabb
    -0.54
    oooooooo
    -0.54
     Acqu
    -0.51
    rb
    -0.51
     HuffPost
    -0.51
    POSITIVE LOGITS
     rul
    0.60
     unworthy
    0.57
     brood
    0.57
    endish
    0.55
    opt
    0.55
     blades
    0.55
    idious
    0.54
     awoken
    0.54
    eteria
    0.54
     destro
    0.53
    Activations Density 2.218%

    No Known Activations