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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. 1759
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    oai_token-act-pair · gpt-3.5-turbo

    references to spiritual concepts or themes

    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
    •911

    No Comments

    Negative Logits
    drops
    -0.74
    redd
    -0.71
    vous
    -0.70
    ered
    -0.68
    egg
    -0.67
    crop
    -0.67
    xus
    -0.67
    zz
    -0.67
    æ©
    -0.65
    hner
    -0.65
    POSITIVE LOGITS
    izing
    1.14
    istic
    1.09
    ising
    1.08
    ised
    1.07
    ized
    1.05
    ization
    1.02
    istically
    1.00
    isation
    1.00
    izes
    0.98
    ists
    0.96
    Activations Density 0.014%

    No Known Activations