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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. 3-RES-JB
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    Explanations

    words related to persecution and oppressed individuals

    oai_token-act-pair · gpt-3.5-turbo

    terms related to persecution and the experiences of marginalized or oppressed groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eton
    -0.81
    clus
    -0.74
    balance
    -0.71
    arger
    -0.70
    erd
    -0.69
    soDeliveryDate
    -0.69
    erm
    -0.68
    jac
    -0.68
    suggest
    -0.68
    angler
    -0.67
    POSITIVE LOGITS
     persecution
    1.31
     persecuted
    1.14
     persecut
    1.14
     Palest
    0.84
     bigotry
    0.80
     retaliation
    0.78
     oppression
    0.77
     discrimination
    0.77
     targeting
    0.74
     suppression
    0.73
    Activations Density 0.014%

    No Known Activations