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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. 10-RES-JB
    11. 10531
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    INDEX
    Explanations

    phrases related to aspirations or fears

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope and fear

    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
    eni
    -0.72
    elta
    -0.70
    akia
    -0.59
    redd
    -0.59
    TPPStreamerBot
    -0.59
    iery
    -0.58
    nia
    -0.58
    ivot
    -0.57
    nova
    -0.56
    vision
    -0.56
    POSITIVE LOGITS
     they
    0.98
     that
    0.90
     THEY
    0.86
     thereof
    0.85
     lest
    0.84
     of
    0.80
     nobody
    0.73
    they
    0.69
     it
    0.69
    that
    0.68
    Activations Density 0.088%

    No Known Activations