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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. 22809
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    INDEX
    Explanations

    prepositions followed by adjectives or verbs

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating precision and references to being in a specific location or situation

    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
    Orig
    -0.62
     fasc
    -0.61
    Bur
    -0.60
    Ö¼
    -0.58
     scrimmage
    -0.57
     fracturing
    -0.57
     corruption
    -0.56
    berra
    -0.55
     descent
    -0.54
     underworld
    -0.54
    POSITIVE LOGITS
     wiser
    0.79
    amed
    0.79
    idered
    0.77
    irable
    0.75
    urated
    0.74
    soDeliveryDate
    0.74
    uzz
    0.74
    ioned
    0.74
     Yourself
    0.72
    itable
    0.72
    Activations Density 0.888%

    No Known Activations