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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. 12466
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    Explanations

    the word "vert" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "transformation" or "conversion."

    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
    llah
    -0.87
    utical
    -0.83
    çĦ
    -0.80
    ãģ®éŃĶ
    -0.74
    ptive
    -0.70
    ptives
    -0.66
    %"
    -0.65
    utics
    -0.64
    tta
    -0.64
    UGH
    -0.64
    POSITIVE LOGITS
    ibility
    1.11
    ible
    1.01
    vert
    0.93
    verted
    0.90
    ected
    0.87
    icals
    0.86
    ibles
    0.86
    version
    0.85
    igo
    0.84
    verts
    0.84
    Activations Density 0.015%

    No Known Activations