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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 21838
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    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    indal
    -0.62
    wcs
    -0.62
     Barbar
    -0.62
    gencies
    -0.62
    vation
    -0.61
     Grind
    -0.59
     Goodbye
    -0.58
     Mour
    -0.58
    inness
    -0.58
    ggle
    -0.57
    POSITIVE LOGITS
     encoding
    0.69
    =-
    0.66
    channelAvailability
    0.64
    phis
    0.61
     computing
    0.58
     transcript
    0.53
    =
    0.53
    olin
    0.53
    };
    0.53
     redacted
    0.52
    Activations Density 0.195%

    No Known Activations