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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. 10-RES-JB
    11. 10484
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    INDEX
    Explanations

    references to shapes and physical characteristics such as size, texture, and appearance

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe shapes and appearances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ettings
    -0.80
    redit
    -0.80
    tests
    -0.80
    Ô
    -0.79
    imates
    -0.79
    illard
    -0.73
    ienne
    -0.71
    ecause
    -0.71
    iblings
    -0.71
    gencies
    -0.70
    POSITIVE LOGITS
     humanoid
    1.23
     sphere
    1.22
     orb
    1.22
     creature
    1.17
     blob
    1.15
     cylinder
    1.13
     orbs
    1.10
     rectangle
    1.09
     spherical
    1.09
     cyl
    1.09
    Activations Density 0.183%

    No Known Activations