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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. 1-RES-JB
    11. 6830
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    Explanations

    references to visual attributes related to shadows

    oai_token-act-pair · gpt-3.5-turbo

    mentions of shadows and their contextual significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raltar
    -0.80
    ALLY
    -0.73
    ific
    -0.71
     commun
    -0.69
     regeneration
    -0.67
    nia
    -0.67
    ISON
    -0.67
    ICAN
    -0.67
    RY
    -0.65
     basis
    -0.65
    POSITIVE LOGITS
     Shadows
    1.04
    adows
    0.93
     shadows
    0.93
    ritz
    0.90
     Jagu
    0.86
     Creep
    0.83
    luaj
    0.80
     silhou
    0.80
    ynthesis
    0.77
    hirt
    0.75
    Activations Density 0.018%

    No Known Activations