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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. 7-RES-JB
    11. 13894
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    Explanations

    responses with high confidence

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "res."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OTS
    -0.61
    glers
    -0.61
     strings
    -0.58
    VERTISEMENT
    -0.58
    ARB
    -0.58
     caucuses
    -0.57
     snippets
    -0.56
     Zh
    -0.56
     eminent
    -0.55
    doms
    -0.55
    POSITIVE LOGITS
    cue
    1.26
    istance
    1.22
    pring
    1.11
    cale
    1.10
    olutions
    1.09
    pell
    1.08
    idency
    1.07
    urrection
    1.06
    idence
    1.02
    erve
    1.00
    Activations Density 0.018%

    No Known Activations