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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. 4-RES-JB
    11. 14497
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    Explanations

    phrases related to supporting or advocating for a specific cause or belief

    oai_token-act-pair · gpt-3.5-turbo

    references to a particular cause or movement

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

    No Comments

    Negative Logits
    Ku
    -0.78
    aeper
    -0.74
     Leopard
    -0.72
    olitan
    -0.70
    ault
    -0.70
     lav
    -0.68
     Technique
    -0.68
    aturdays
    -0.67
     cardinal
    -0.67
     Seasons
    -0.65
    POSITIVE LOGITS
     cele
    1.31
    cause
    0.77
    fare
    0.74
    way
    0.73
    wagon
    0.73
    vier
    0.71
     celeb
    0.70
    facts
    0.67
    usa
    0.67
     Cause
    0.67
    Activations Density 0.025%

    No Known Activations