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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. 7899
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    INDEX
    Explanations

    words related to positive experiences or emotions

    oai_token-act-pair · gpt-3.5-turbo

    infinitive phrases expressing actions or intentions

    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
    é¾įå¥ij士
    -0.77
    calling
    -0.71
    farious
    -0.71
    soever
    -0.68
    venue
    -0.67
    astrous
    -0.64
    acist
    -0.64
     Preferences
    -0.63
    discrimination
    -0.61
    furt
    -0.61
    POSITIVE LOGITS
     hear
    1.31
     see
    1.30
     behold
    1.23
     realize
    1.12
     meet
    1.10
     know
    1.10
     watch
    1.09
     contemplate
    1.08
     realise
    1.08
     lose
    1.07
    Activations Density 0.100%

    No Known Activations