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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. 7-RES-JB
    11. 17863
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    Explanations

    words related to various types of attendants or staff members

    oai_token-act-pair · gpt-3.5-turbo

    roles or titles of individuals in service positions

    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
     Sovere
    -0.68
     Flavoring
    -0.67
    itars
    -0.67
     ancestral
    -0.65
     homegrown
    -0.65
    growing
    -0.64
     cryptocurrencies
    -0.64
    çīĪ
    -0.63
    aepernick
    -0.63
     libertarians
    -0.63
    POSITIVE LOGITS
    esses
    0.95
    ess
    0.83
     examiner
    0.82
     instructed
    0.80
    staff
    0.80
     supervisor
    0.78
    ials
    0.76
     yells
    0.76
     discretion
    0.72
    sers
    0.71
    Activations Density 0.358%

    No Known Activations