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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. 3-RES-JB
    11. 8710
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    Explanations

    references to physical objects, particularly related to equipment or installations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety or caution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heimer
    -0.74
    efer
    -0.68
    playing
    -0.67
    sa
    -0.67
    otrop
    -0.67
    quart
    -0.67
    isy
    -0.66
    izen
    -0.66
    ved
    -0.64
    icles
    -0.63
    POSITIVE LOGITS
    redients
    0.97
     techniques
    0.83
    GGGGGGGG
    0.78
    HAM
    0.78
     conventions
    0.77
     prowess
    0.76
    tons
    0.75
     cessation
    0.74
     ceremonies
    0.73
     methods
    0.71
    Activations Density 0.112%

    No Known Activations