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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. 11-RES-JB
    11. 16719
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    Explanations

    phrases related to claims and allegations, with a focus on examining the truth or validity of the statements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the credibility and validity of claims or allegations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Volunte
    -0.73
     Nanto
    -0.73
    idth
    -0.69
    ioch
    -0.66
     Chains
    -0.66
     Opportunity
    -0.65
     parting
    -0.64
    phabet
    -0.64
    Changes
    -0.63
     Functions
    -0.63
    POSITIVE LOGITS
     untrue
    1.68
     unfounded
    1.54
     baseless
    1.50
     unsub
    1.38
     false
    1.37
     inaccurate
    1.29
     FALSE
    1.26
     exaggerated
    1.23
     fabricated
    1.22
     bogus
    1.21
    Activations Density 0.210%

    No Known Activations