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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. 5550
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    Explanations

    phrases related to societal issues or observations

    oai_token-act-pair · gpt-3.5-turbo

    references to societal concepts and issues

    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
    word
    -0.87
    urations
    -0.83
    ifer
    -0.74
    Word
    -0.69
     Verb
    -0.69
    alone
    -0.68
    gran
    -0.67
    term
    -0.66
    ead
    -0.65
    èª
    -0.64
    POSITIVE LOGITS
     society
    1.06
     societies
    0.82
    anguage
    0.75
     opin
    0.75
    fare
    0.75
    ically
    0.73
     Society
    0.72
     Palest
    0.71
     citiz
    0.70
    folk
    0.70
    Activations Density 0.014%

    No Known Activations