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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. 2-RES-JB
    11. 12223
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    Explanations

    mentions of poverty and impoverished conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to poverty and socioeconomic challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CU
    -0.81
    wcsstore
    -0.75
    arger
    -0.74
    ographed
    -0.73
    soDeliveryDate
    -0.73
    RH
    -0.73
    RAFT
    -0.71
    âĹ¼
    -0.69
    thus
    -0.69
    Pi
    -0.69
    POSITIVE LOGITS
    poor
    0.86
     performers
    0.84
     poor
    0.76
     grades
    0.76
    luck
    0.73
    glers
    0.72
     widow
    0.70
     poorer
    0.70
     disproportion
    0.70
     luck
    0.69
    Activations Density 0.016%

    No Known Activations