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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. 16240
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    INDEX
    Explanations

    relevant information like estimates, costs, and numbers in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical estimates or predictions

    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
    Interstitial
    -0.88
    woods
    -0.88
    feeding
    -0.84
    NetMessage
    -0.75
    wood
    -0.73
    ktop
    -0.71
    taboola
    -0.71
    marine
    -0.69
    ModLoader
    -0.68
    lishing
    -0.68
    POSITIVE LOGITS
     estimates
    1.05
     estimate
    1.02
    imates
    0.94
    imate
    0.90
     Estimates
    0.80
     estimating
    0.80
     estimated
    0.78
    imating
    0.76
     allowance
    0.75
    enance
    0.75
    Activations Density 0.023%

    No Known Activations