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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. 4-RES-JB
    11. 19515
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    Explanations

    exact matches or precision in statements

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing precision or certainty

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

    No Comments

    Negative Logits
    ker
    -0.82
    rift
    -0.73
    jay
    -0.72
    olyn
    -0.70
    ULTS
    -0.68
    kers
    -0.67
    gers
    -0.66
    rug
    -0.66
    strong
    -0.64
    lag
    -0.63
    POSITIVE LOGITS
    ãĤ¨
    0.68
     opposite
    0.68
     calibrated
    0.67
    ensions
    0.67
     aligned
    0.66
     identical
    0.66
     wrong
    0.65
     ident
    0.64
    earable
    0.61
     align
    0.61
    Activations Density 0.011%

    No Known Activations