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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. 16466
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    Explanations

    adjectives related to negative health or social conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health issues or vulnerabilities affecting individuals

    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
    pun
    -0.73
     conclud
    -0.72
    00007
    -0.70
    wcsstore
    -0.68
    guided
    -0.68
    antine
    -0.67
    Created
    -0.67
    apult
    -0.66
     distingu
    -0.65
     mathemat
    -0.65
    POSITIVE LOGITS
     individuals
    1.31
     persons
    1.30
     youths
    1.10
     souls
    1.07
     youngsters
    1.04
     people
    1.02
     Persons
    1.01
     spouses
    0.99
     citizens
    0.95
     adults
    0.95
    Activations Density 0.269%

    No Known Activations