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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. 11513
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    Explanations

    words related to chaos, problems, headaches, and negative consequences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to negative outcomes or crises

    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
    Not in Any Lists

    No Comments

    Negative Logits
    estone
    -0.74
    ©¶æ
    -0.68
    ynski
    -0.65
    aucas
    -0.64
    cknow
    -0.63
     Witcher
    -0.63
    omorphic
    -0.61
    estones
    -0.60
    ulhu
    -0.60
    oked
    -0.56
    POSITIVE LOGITS
     havoc
    0.78
     akin
    0.65
     depending
    0.65
     Judd
    0.63
    "]=>
    0.63
    Enlarge
    0.63
    ish
    0.62
     amongst
    0.62
     headaches
    0.62
     morale
    0.61
    Activations Density 0.390%

    No Known Activations