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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. 1-RES-JB
    11. 22435
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    Explanations

    terms related to negative or harmful situations

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of irrational or immoral actions and the concept of being unresolved or unsolved

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tibet
    -0.76
     Pend
    -0.70
    idad
    -0.69
     Cheong
    -0.68
    etus
    -0.67
     Clo
    -0.67
    ij士
    -0.67
     Pett
    -0.67
     Crescent
    -0.66
    isters
    -0.65
    POSITIVE LOGITS
     :=
    0.91
     senseless
    0.90
    forth
    0.85
    acht
    0.85
    ombies
    0.75
    forward
    0.72
    daq
    0.71
    mt
    0.70
    ãĥ£
    0.70
    wise
    0.66
    Activations Density 0.028%

    No Known Activations