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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. 3-RES-JB
    11. 11239
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    Explanations

    references to someone maintaining a specific stance or position on various topics or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "maintain" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.88
    DragonMagazine
    -0.83
    FTWARE
    -0.70
    mes
    -0.66
    ranch
    -0.65
    ooters
    -0.64
    RNA
    -0.63
    aterasu
    -0.63
    OME
    -0.62
    ining
    -0.62
    POSITIVE LOGITS
     maintained
    0.88
     composure
    0.78
    atively
    0.75
     afloat
    0.74
     maintains
    0.74
    ably
    0.69
     vigil
    0.69
     secrets
    0.67
    ervation
    0.67
     upkeep
    0.67
    Activations Density 0.014%

    No Known Activations