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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. 19425
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    Explanations

    adjectives related to describing different kinds of things

    oai_token-act-pair · gpt-3.5-turbo

    references to various types or classifications of things

    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
     VIDEOS
    -0.76
    ETHOD
    -0.72
    sbm
    -0.70
    UNCH
    -0.69
    ARY
    -0.68
    FD
    -0.64
     Vulkan
    -0.62
    IBLE
    -0.62
     Bots
    -0.62
    ULT
    -0.61
    POSITIVE LOGITS
    hearted
    1.17
    lier
    1.09
    liness
    1.06
    ling
    1.04
    liest
    0.90
    face
    0.89
    led
    0.84
    est
    0.83
    er
    0.82
    nesses
    0.81
    Activations Density 0.036%

    No Known Activations