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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. 8807
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    Explanations

    mentions of actions or events happening with high intensity or importance

    oai_token-act-pair · gpt-3.5-turbo

    the word "have" indicating possession or action taken by subjects

    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
    eem
    -0.66
     territ
    -0.63
    rift
    -0.62
    catentry
    -0.60
     Apart
    -0.59
    ocol
    -0.59
     colonization
    -0.58
     Pair
    -0.58
    entary
    -0.57
    —-
    -0.57
    POSITIVE LOGITS
     been
    1.39
    been
    1.16
     Been
    1.07
     undergone
    0.99
     gone
    0.97
     gotten
    0.95
     begun
    0.91
     seen
    0.91
    gotten
    0.90
     become
    0.89
    Activations Density 0.375%

    No Known Activations