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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. 8-RES-JB
    11. 8167
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    Explanations

    verbs related to negative or harmful actions

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with negative actions or consequences towards individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spoilers
    -0.79
     interest
    -0.75
     spoiler
    -0.73
     annoyance
    -0.71
     inaction
    -0.69
     captive
    -0.69
     srfAttach
    -0.68
     neutrality
    -0.68
     brill
    -0.68
     existential
    -0.67
    POSITIVE LOGITS
    uates
    1.21
    ighed
    1.19
    izes
    1.17
    istered
    1.16
    uate
    1.14
    ciating
    1.13
    ated
    1.13
    ize
    1.07
    rouse
    1.07
    ating
    1.06
    Activations Density 0.178%

    No Known Activations