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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. 6-RES-JB
    11. 7622
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    Explanations

    phrases related to various forms of endings, such as dying, killed, and death

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases associated with death or decline

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     emergencies
    -0.68
     Indones
    -0.66
     Inquiry
    -0.66
    humane
    -0.66
     Afghans
    -0.65
     counselling
    -0.64
     Dunham
    -0.63
     Miss
    -0.62
     Authorities
    -0.62
    ©¶æ
    -0.61
    POSITIVE LOGITS
     pains
    0.71
    thur
    0.70
    imum
    0.69
    xes
    0.68
    oil
    0.67
    ranch
    0.65
     gears
    0.64
     embr
    0.62
     reinvent
    0.62
     disco
    0.61
    Activations Density 0.364%

    No Known Activations