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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23181
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    INDEX
    Explanations

    words like "admit", "confess", and "say" indicating acknowledgment or disclosure

    oai_token-act-pair · gpt-3.5-turbo

    expressions of acknowledgment or admission of personal feelings or actions

    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
     decom
    -0.71
    locked
    -0.66
    ishable
    -0.64
    let
    -0.61
    stall
    -0.61
     lockdown
    -0.59
    lets
    -0.57
    arent
    -0.57
     scrimmage
    -0.57
     resur
    -0.57
    POSITIVE LOGITS
     anecd
    0.77
     hindsight
    0.76
    eno
    0.74
     fav
    0.68
     admit
    0.68
    vv
    0.63
    lers
    0.62
    olson
    0.61
    erning
    0.61
     Uri
    0.61
    Activations Density 0.052%

    No Known Activations