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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. 15406
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    Explanations

    phrases related to confirming or verifying information or results

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "confirm" and related contexts

    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
    FINE
    -0.75
    @#&
    -0.65
    ©¶æ
    -0.64
    MpServer
    -0.64
    fore
    -0.64
    DragonMagazine
    -0.64
    EStreamFrame
    -0.63
    DIR
    -0.62
    hung
    -0.62
    ð
    -0.60
    POSITIVE LOGITS
    irmation
    1.06
    atory
    1.02
    ance
    0.94
    ations
    0.90
    ities
    0.88
    ifies
    0.87
    irms
    0.86
    antes
    0.85
    ifying
    0.85
    ifications
    0.82
    Activations Density 0.021%

    No Known Activations