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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. 6-RES-JB
    11. 12193
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    INDEX
    Explanations

    phrases related to identifying, acknowledging, and addressing problems or concerns

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing problems or issues that need to be addressed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ée
    -0.77
    plates
    -0.74
    apps
    -0.70
     Printed
    -0.67
     Kinnikuman
    -0.67
    ometers
    -0.66
     Nanto
    -0.65
    prints
    -0.64
     Zup
    -0.64
    thouse
    -0.63
    POSITIVE LOGITS
     shortfall
    1.01
     deficiencies
    1.01
     problem
    0.94
     deficit
    0.93
     imbalance
    0.91
     problems
    0.91
     deficiency
    0.89
     longstanding
    0.89
     plag
    0.88
    problem
    0.88
    Activations Density 0.338%

    No Known Activations