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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. 2765
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    Explanations

    numbers related to measurements such as battery capacity and temperature settings

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to quantities and measurements

    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
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    No Comments

    Negative Logits
    bara
    -0.73
    estine
    -0.67
     acad
    -0.67
     surn
    -0.63
    ourge
    -0.63
     Creator
    -0.62
    iqu
    -0.62
     contingent
    -0.61
     immortality
    -0.61
    bid
    -0.60
    POSITIVE LOGITS
     rpm
    1.27
    Hz
    1.21
    MHz
    1.20
     lbs
    1.20
     watts
    1.19
     MHz
    1.15
    rpm
    1.14
     volts
    1.13
     RPM
    1.10
     grams
    1.08
    Activations Density 0.182%

    No Known Activations