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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. 16947
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    Explanations

    words related to problems, issues, or abnormalities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating something is wrong or unusual

    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
    ahime
    -0.88
    ploy
    -0.70
    ordes
    -0.65
    bill
    -0.63
    bryce
    -0.62
    @@@@
    -0.62
     SHARES
    -0.62
    ategory
    -0.61
    enegger
    -0.61
    ESSION
    -0.61
    POSITIVE LOGITS
     happening
    0.74
     separates
    0.71
    else
    0.68
    imately
    0.68
    enos
    0.67
     transpired
    0.67
     boils
    0.66
     besides
    0.66
    pires
    0.66
     resembling
    0.64
    Activations Density 0.468%

    No Known Activations