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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. 6113
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    Explanations

    references to textures

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of textures

    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
    arters
    -0.86
    stand
    -0.81
    dule
    -0.74
    agall
    -0.73
    oned
    -0.70
    ership
    -0.69
    ostics
    -0.69
    oning
    -0.67
    etts
    -0.66
    ouston
    -0.66
    POSITIVE LOGITS
     texture
    1.06
     textures
    0.92
    texture
    0.84
    staking
    0.83
    urally
    0.83
     richness
    0.79
    Texture
    0.77
    è¦ļéĨĴ
    0.75
    ural
    0.74
    Layer
    0.73
    Activations Density 0.014%

    No Known Activations