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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. 5-RES-JB
    6. 20963
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    INDEX
    Explanations

    expressions of strong emotions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express different forms of opinion or perspective

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bid
    -0.80
    cas
    -0.70
    bats
    -0.68
    head
    -0.66
    fn
    -0.66
    idity
    -0.65
    notations
    -0.64
    uity
    -0.63
    heads
    -0.63
    orgetown
    -0.62
    POSITIVE LOGITS
     sorts
    1.25
     pure
    0.82
     theirs
    0.79
    icial
    0.71
     ours
    0.70
     genuine
    0.70
     necessity
    0.67
    Lear
    0.66
     honour
    0.65
    aeper
    0.65
    Activations Density 0.218%

    No Known Activations