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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. 9-RES-JB
    11. 3430
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    Explanations

    references to articles within text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of written content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asus
    -0.76
    engeance
    -0.76
     predicament
    -0.62
    STON
    -0.60
    shield
    -0.59
    rification
    -0.59
    entity
    -0.58
     Niagara
    -0.58
     circumstances
    -0.58
     Amp
    -0.58
    POSITIVE LOGITS
    uggest
    1.18
     documenting
    1.12
     detailing
    1.11
     describing
    1.01
     praising
    1.01
     pertaining
    0.99
    mith
    0.99
     outlining
    0.97
     depicting
    0.97
     mentioning
    0.94
    Activations Density 0.363%

    No Known Activations