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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. 216
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    Explanations

    phrases related to television networks or broadcasts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "vision" in various contexts

    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
     soluble
    -0.64
    vae
    -0.63
    otrop
    -0.63
    estones
    -0.63
    milo
    -0.63
     additive
    -0.62
     habitable
    -0.61
    uana
    -0.61
    agna
    -0.60
     reservoirs
    -0.60
    POSITIVE LOGITS
    ision
    1.10
    eering
    0.94
    isions
    0.84
    SHIP
    0.82
    aries
    0.79
    al
    0.79
    ISION
    0.78
    iu
    0.78
    naire
    0.74
    IAL
    0.74
    Activations Density 0.018%

    No Known Activations