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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. 8206
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    Explanations

    phrases related to excessive or extreme behavior

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to overconsumption and its negative effects

    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
    ulhu
    -0.98
     Juliet
    -0.76
     Dickinson
    -0.75
     Ranger
    -0.73
     Bravo
    -0.70
     Doe
    -0.69
    itaire
    -0.69
     Guru
    -0.69
     Dynamics
    -0.69
     Archdemon
    -0.69
    POSITIVE LOGITS
    emphasis
    1.25
    regulation
    1.17
    priced
    1.14
    sized
    1.14
    arching
    1.11
    performing
    1.09
    exc
    1.07
    stated
    1.06
    regulated
    1.06
    represented
    1.06
    Activations Density 0.023%

    No Known Activations