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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. 17670
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    Explanations

    information or requests for information, often related to specific cases or incidents

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "with" indicating a condition or relationship

    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
     srfAttach
    -0.80
    inventoryQuantity
    -0.78
    Reloaded
    -0.76
    %%%%
    -0.74
    Accessory
    -0.73
    UCT
    -0.73
    catentry
    -0.70
    LOCK
    -0.70
    GMT
    -0.70
    BIT
    -0.70
    POSITIVE LOGITS
    vae
    0.78
     whom
    0.77
    igans
    0.76
    who
    0.74
     starved
    0.71
    otta
    0.69
     wiser
    0.67
    acht
    0.67
     who
    0.66
    oots
    0.66
    Activations Density 0.632%

    No Known Activations