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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8823
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    INDEX
    Explanations

    positive outcomes or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating well-being and positive experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enge
    -0.77
    sten
    -0.70
    inge
    -0.66
     specific
    -0.64
    part
    -0.62
    agine
    -0.62
    ammy
    -0.60
    etus
    -0.60
     Clash
    -0.59
    iosyncr
    -0.58
    POSITIVE LOGITS
     except
    0.99
     thanks
    0.93
     despite
    0.86
     smoothly
    0.81
     intact
    0.81
    Reply
    0.78
    Enjoy
    0.76
     alright
    0.76
    despite
    0.76
     unchanged
    0.74
    Activations Density 0.351%

    No Known Activations