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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
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to background information or history

    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
    ikh
    -0.85
     WATCHED
    -0.77
    CVE
    -0.71
    ById
    -0.68
    hab
    -0.67
    erion
    -0.64
     ILCS
    -0.63
    self
    -0.62
    ishi
    -0.62
    selves
    -0.62
    POSITIVE LOGITS
     background
    1.13
     backgrounds
    0.97
    coat
    0.94
     Background
    0.92
     checks
    0.84
     trades
    0.82
    background
    0.78
     briefings
    0.75
     Checks
    0.72
     considerations
    0.71
    Activations Density 0.008%

    No Known Activations