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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. 5611
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    INDEX
    Explanations

    motivational messages and calls to action

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal desires and emotions related to relationships and social engagement

    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
    Similar
    -0.69
    Below
    -0.68
     Similar
    -0.67
    Additional
    -0.66
    Previously
    -0.65
    su
    -0.64
    Later
    -0.63
    Shortly
    -0.61
    Typ
    -0.61
     Later
    -0.60
    POSITIVE LOGITS
     tsun
    0.72
     fuckin
    0.70
     humili
    0.68
     decency
    0.67
     rapists
    0.67
     bullies
    0.67
     rgb
    0.65
     globalization
    0.62
     everybody
    0.62
     drown
    0.60
    Activations Density 0.384%

    No Known Activations