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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. 7-RES-JB
    11. 21597
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    Explanations

    dates expressed in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     myster
    -0.69
     pretext
    -0.68
     whiff
    -0.66
     fert
    -0.64
     fro
    -0.64
     miscar
    -0.62
     decomp
    -0.61
     casc
    -0.61
     blond
    -0.61
     weave
    -0.61
    POSITIVE LOGITS
    ï¸ı
    0.89
    ashtra
    0.82
    SHIP
    0.79
    taboola
    0.79
    wealth
    0.78
    nai
    0.78
    oil
    0.76
    iversary
    0.74
    ghai
    0.74
    vernment
    0.73
    Activations Density 0.265%

    No Known Activations