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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. 14849
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    Explanations

    mentions of various types of benefits in social and financial contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of benefits and welfare programs

    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
     Atmosp
    -0.84
    Temperature
    -0.76
     earthqu
    -0.75
    ãĥ´
    -0.72
    Sensor
    -0.71
    ãĤ¨ãĥ«
    -0.71
    \\\\\\\\\\\\\\\\
    -0.70
    çīĪ
    -0.69
    Engineers
    -0.69
     eleph
    -0.68
    POSITIVE LOGITS
     entitle
    1.21
     eligibility
    1.07
     payable
    1.04
     payments
    1.02
     Disability
    1.00
     recipients
    1.00
     allowance
    0.97
     expired
    0.96
     allowances
    0.94
     reimburse
    0.94
    Activations Density 0.136%

    No Known Activations