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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. 4-RES-JB
    11. 9240
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    Explanations

    references to formal or organizational meetings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "meetings."

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

    No Comments

    Negative Logits
    Hur
    -0.65
    shield
    -0.61
    duc
    -0.59
    Bal
    -0.59
    Tro
    -0.59
    FE
    -0.58
    balance
    -0.56
    acted
    -0.56
    Twe
    -0.55
    ACTED
    -0.55
    POSITIVE LOGITS
    hips
    1.32
    uggest
    1.26
    hip
    1.14
    hops
    1.10
    poons
    1.02
    afety
    0.99
    paces
    0.98
    hooting
    0.97
    cape
    0.97
    ettings
    0.95
    Activations Density 0.054%

    No Known Activations