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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. 3-RES-JB
    11. 8969
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    Explanations

    verbs related to actions of trying or doing

    oai_token-act-pair · gpt-3.5-turbo

    prepositions indicating direction or relationship

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ONSORED
    -0.38
    uart
    -0.36
    edin
    -0.34
    ulous
    -0.33
     redistributed
    -0.33
    itialized
    -0.32
    uably
    -0.32
    gins
    -0.32
    âĵĺ
    -0.31
    arnaev
    -0.31
    POSITIVE LOGITS
     behalf
    0.47
    NetMessage
    0.42
    shore
    0.38
    imity
    0.37
    wards
    0.36
     bip
    0.34
     Pastebin
    0.34
    ces
    0.34
    aging
    0.33
    cing
    0.32
    Activations Density 1.715%

    No Known Activations