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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. 23942
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    INDEX
    Explanations

    phrases indicating addressing or referring to specific groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific audience

    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
    ocratic
    -0.61
    iliation
    -0.60
    sein
    -0.59
    arna
    -0.58
    atform
    -0.57
    ront
    -0.57
    ocracy
    -0.56
    PRES
    -0.56
     Prophet
    -0.56
     executions
    -0.56
    POSITIVE LOGITS
     unfamiliar
    1.19
     wondering
    1.11
     curious
    1.10
     wishing
    1.10
     interested
    1.06
     wanting
    1.04
     unaware
    1.00
     unlucky
    0.94
    antics
    0.87
     impatient
    0.86
    Activations Density 0.083%

    No Known Activations