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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
    11. 12045
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    Explanations

    phrases related to medical conditions or primary characteristics

    oai_token-act-pair · gpt-3.5-turbo

    references to primary and secondary concepts or resources

    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
    estern
    -0.74
    OTO
    -0.73
     Braun
    -0.71
     Tycoon
    -0.70
    INESS
    -0.69
     Athlet
    -0.67
    Afee
    -0.67
    EEK
    -0.66
    orse
    -0.65
    Roberts
    -0.65
    POSITIVE LOGITS
     distingu
    0.83
     primary
    0.77
     careg
    0.77
     antagonist
    0.76
    stay
    0.76
     objective
    0.76
     distinguishing
    0.75
    yout
    0.71
    tenance
    0.71
     culprit
    0.69
    Activations Density 0.014%

    No Known Activations