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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. 12-RES-JB
    11. 3282
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    INDEX
    Explanations

    emotional intensity and urgency in words and phrases

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    various forms of verbs and their related actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĸ
    -0.67
    iaz
    -0.66
    Ļ
    -0.64
    quickShipAvailable
    -0.63
    Ļ½
    -0.63
    tis
    -0.63
    encia
    -0.62
    Panel
    -0.62
    ãĥķãĤ©
    -0.61
    URA
    -0.60
    POSITIVE LOGITS
     away
    1.15
    ily
    1.08
     furiously
    1.04
     havoc
    0.99
    ishly
    0.95
     endlessly
    0.92
     ashore
    0.90
     nervously
    0.88
     awake
    0.87
     around
    0.87
    Activations Density 0.379%

    No Known Activations