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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. 10-RES-JB
    11. 1185
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    Explanations

    phrases that indicate serving as a reminder, wake-up call, or useful model

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a purpose or function

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffff
    -0.87
    atism
    -0.80
    estate
    -0.77
    ancies
    -0.76
    IRE
    -0.75
    merce
    -0.75
    aido
    -0.73
    owned
    -0.73
    Staff
    -0.70
    aults
    -0.69
    POSITIVE LOGITS
     reminder
    1.44
     catalyst
    1.27
     illustration
    1.26
     impetus
    1.24
     reminders
    1.23
     proof
    1.22
     indication
    1.22
     opportunity
    1.18
     confirmation
    1.18
     precedent
    1.15
    Activations Density 0.292%

    No Known Activations