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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. 13478
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    Explanations

    phrases referring to particular people or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases mentioning preferences or interests related to "likes."

    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
    INA
    -0.75
    nex
    -0.68
    Medic
    -0.64
    patient
    -0.64
    verning
    -0.63
    izational
    -0.63
    arding
    -0.62
    SPONSORED
    -0.61
    arta
    -0.61
    apers
    -0.61
    POSITIVE LOGITS
    lihood
    1.40
    liest
    0.92
    76561
    0.91
    ileaks
    0.86
    terday
    0.79
    minded
    0.78
     minded
    0.77
     likes
    0.77
    ancies
    0.75
    bill
    0.74
    Activations Density 0.026%

    No Known Activations