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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. 6-RES-JB
    11. 688
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    Explanations

    phrases indicating personal acknowledgment or confession

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey admission or honesty about personal experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     decom
    -0.74
    gur
    -0.73
     arra
    -0.72
    etting
    -0.70
    tailed
    -0.67
    arent
    -0.64
    und
    -0.63
    necess
    -0.61
    nes
    -0.60
    lde
    -0.60
    POSITIVE LOGITS
     anecd
    0.68
     Uri
    0.65
    ukemia
    0.63
    oppers
    0.63
    OPE
    0.62
    olicy
    0.61
     hindsight
    0.61
     admit
    0.61
     feeling
    0.61
     guess
    0.59
    Activations Density 0.091%

    No Known Activations