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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. 9-RES-JB
    11. 1515
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    Explanations

    terms related to probability and chance

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to probability and risk factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.70
    çīĪ
    -0.70
     Gleaming
    -0.65
     Griffith
    -0.65
     apologies
    -0.61
    å°Ĩ
    -0.60
    ĸļ
    -0.59
     Shades
    -0.57
    ETHOD
    -0.56
    PHOTOS
    -0.56
    POSITIVE LOGITS
     of
    0.92
    ivity
    0.84
     thereof
    0.81
     effectiveness
    0.74
    iveness
    0.73
     footprint
    0.70
    ourge
    0.67
     considerably
    0.66
     payable
    0.66
     usable
    0.65
    Activations Density 0.205%

    No Known Activations