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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. 0-RES-JB
    11. 18096
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    INDEX
    Explanations

    actions or processes associated with rating or assessing something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to ratings and rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     beck
    -0.77
     shift
    -0.67
     encl
    -0.64
     path
    -0.64
     Kens
    -0.64
     cloaked
    -0.63
     sol
    -0.62
     canv
    -0.62
     keynote
    -0.62
     advent
    -0.62
    POSITIVE LOGITS
    rating
    4.18
    rated
    4.03
    rate
    2.46
    ration
    2.45
    rates
    2.40
    rations
    1.96
    rator
    1.72
    rative
    1.71
    ranked
    1.69
    Rating
    1.55
    Activations Density 0.019%

    No Known Activations