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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. 13630
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    INDEX
    Explanations

    references to people or individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of people and their collective actions

    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
     Lank
    -0.74
    NES
    -0.73
     srfAttach
    -0.73
    etr
    -0.68
    SPONSORED
    -0.67
    uner
    -0.66
    shore
    -0.65
    ener
    -0.62
    ECD
    -0.62
     Sadd
    -0.62
    POSITIVE LOGITS
     smugglers
    1.01
    folk
    0.76
     who
    0.76
    hate
    0.73
    wana
    0.70
     migrated
    0.69
     cared
    0.66
     starve
    0.66
    chu
    0.65
    ourced
    0.65
    Activations Density 0.080%

    No Known Activations