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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. 2-RES-JB
    11. 7008
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    Explanations

    the word "true" at a high activation level, possibly indicating a focus on truth or verification

    oai_token-act-pair · gpt-3.5-turbo

    assertions about the truthfulness of statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ambo
    -0.75
    ourning
    -0.73
    chains
    -0.72
    adish
    -0.71
    ocene
    -0.68
    uled
    -0.68
    artment
    -0.68
    mun
    -0.67
    awk
    -0.66
     Sunder
    -0.66
    POSITIVE LOGITS
     believers
    0.89
     believer
    0.81
    ãĥĻ
    0.77
    ance
    0.76
     è£ıè¦ļéĨĴ
    0.76
     positives
    0.74
     true
    0.72
    blooded
    0.70
    terday
    0.70
    quickShipAvailable
    0.68
    Activations Density 0.018%

    No Known Activations