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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. 9-RES-JB
    6. 1240
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    INDEX
    Explanations

    phrases indicating support or refutation of ideas or claims

    oai_token-act-pair · gpt-3.5-turbo

    discussions related to debunking myths or unsupported claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.85
     actionGroup
    -0.73
     unfocusedRange
    -0.67
    itaire
    -0.67
    rha
    -0.66
    ophon
    -0.66
    icult
    -0.65
    oided
    -0.65
    ishable
    -0.64
     Suc
    -0.64
    POSITIVE LOGITS
     assertions
    1.62
     claims
    1.56
     claim
    1.48
     assertion
    1.47
     hypotheses
    1.42
     accusations
    1.37
     notion
    1.35
     allegation
    1.35
     assumptions
    1.35
     allegations
    1.33
    Activations Density 0.573%

    No Known Activations