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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. 4-RES-JB
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    Explanations

    references to persecution or being persecuted

    oai_token-act-pair · gpt-3.5-turbo

    terms related to persecution and victimization

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

    No Comments

    Negative Logits
    clus
    -0.80
    prints
    -0.75
    gain
    -0.72
    arger
    -0.68
    balance
    -0.67
    angler
    -0.66
    eton
    -0.66
    PART
    -0.66
    erm
    -0.66
    player
    -0.65
    POSITIVE LOGITS
     persecution
    1.23
     persecut
    1.11
     persecuted
    1.06
     Palest
    0.83
     oppression
    0.80
     retaliation
    0.79
    reatment
    0.79
     inflicted
    0.79
    hovah
    0.78
     repression
    0.77
    Activations Density 0.018%

    No Known Activations