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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. 18074
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    INDEX
    Explanations

    verb phrases related to movement and action

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or settings

    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
     helicop
    -0.67
     Seym
    -0.67
     Moroc
    -0.63
     thous
    -0.61
     Vaugh
    -0.61
     vulner
    -0.59
    emale
    -0.58
    ilaterally
    -0.58
     disadvant
    -0.57
     corrid
    -0.57
    POSITIVE LOGITS
     largeDownload
    0.67
     PsyNet
    0.54
    CRIPTION
    0.53
     CARD
    0.51
    mosp
    0.50
     Disclosure
    0.48
    ctive
    0.47
    \":
    0.47
     Steam
    0.47
     partName
    0.46
    Activations Density 2.430%

    No Known Activations