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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. 9-RES-JB
    11. 2896
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    Explanations

    references to numerical quantities and legislative processes

    oai_token-act-pair · gpt-3.5-turbo

    key numerical values and specific legislative references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :#
    -0.69
     FANT
    -0.65
     Emails
    -0.64
    Quote
    -0.64
     +#
    -0.63
     ����
    -0.62
     ðŁij
    -0.62
    ,,,,
    -0.60
    Reply
    -0.60
    :,
    -0.59
    POSITIVE LOGITS
     expires
    0.82
     expire
    0.80
     2022
    0.79
     barred
    0.77
     ineligible
    0.77
     outlawed
    0.77
     2021
    0.75
     ratified
    0.73
    ivably
    0.73
     2019
    0.71
    Activations Density 0.990%

    No Known Activations