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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. 10-RES-JB
    11. 22214
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    Explanations

    verbs related to actions or potential actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to taking action or making decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ãĥ
    -0.51
    >>>>>>>>
    -0.47
    \\\\\\\\
    -0.45
    See
    -0.44
    ¢
    -0.44
    vertising
    -0.43
    inton
    -0.43
    ãĤ©
    -0.42
    umbn
    -0.42
    Gra
    -0.42
    POSITIVE LOGITS
     embodiments
    0.55
     sinners
    0.49
     Horus
    0.47
     thence
    0.47
     Negro
    0.45
     peasants
    0.45
     largeDownload
    0.44
    wolves
    0.43
     conson
    0.43
     repentance
    0.43
    Activations Density 1.800%

    No Known Activations