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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. 9-RES-JB
    11. 23775
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    Explanations

    phrases related to fact-checking and evidence-based practices

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to fact-checking and verification

    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
     Receiver
    -0.79
    ebus
    -0.64
     Dos
    -0.62
     braces
    -0.62
     Shades
    -0.61
     beads
    -0.61
    ModLoader
    -0.60
     Ago
    -0.60
     Klux
    -0.60
     adapters
    -0.60
    POSITIVE LOGITS
    abiding
    1.16
    based
    1.16
    finding
    1.11
    laden
    1.07
    enforcement
    1.05
    management
    1.04
    free
    1.04
    seeking
    1.03
    driven
    1.02
    filled
    1.02
    Activations Density 0.058%

    No Known Activations