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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. 24441
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    Explanations

    phrases related to categorization or classification

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate various types or categories

    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
    ĸļ
    -1.19
    ONSORED
    -0.78
    enegger
    -0.74
    =-=-=-=-=-=-=-=-
    -0.71
    ð
    -0.70
     Uriel
    -0.70
     Miranda
    -0.69
    lain
    -0.67
     Debor
    -0.67
     TAMADRA
    -0.67
    POSITIVE LOGITS
    worldly
    0.79
    rosso
    0.76
    legged
    0.70
    ificant
    0.68
    uitous
    0.67
     leftover
    0.66
     surprises
    0.66
    rued
    0.65
    umni
    0.63
    else
    0.63
    Activations Density 0.422%

    No Known Activations