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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. 8-RES-JB
    11. 23681
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    INDEX
    Explanations

    phrases related to thoughts or expectations that something will or will not happen or be true

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing surprise or unexpected outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eeper
    -0.70
     gist
    -0.63
     Attribution
    -0.62
     attest
    -0.62
    wal
    -0.61
    ribut
    -0.60
     relay
    -0.60
    bis
    -0.59
    nen
    -0.58
    Dialogue
    -0.58
    POSITIVE LOGITS
     existed
    0.87
    ceivable
    0.74
     bothered
    0.63
    !'"
    0.62
     Kelley
    0.61
     envisioned
    0.61
     Saban
    0.59
     dared
    0.58
     aloud
    0.57
     Cait
    0.57
    Activations Density 0.214%

    No Known Activations