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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. 11925
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    INDEX
    Explanations

    locations or objects that are able to be seen

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of sight

    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
    oug
    -0.74
    conn
    -0.71
    AMY
    -0.71
    currency
    -0.70
    ulu
    -0.70
    berman
    -0.69
    inki
    -0.67
    essen
    -0.66
    idity
    -0.66
    vu
    -0.66
    POSITIVE LOGITS
    seeing
    1.38
     Sight
    1.02
    orial
    0.83
     sight
    0.81
    lessly
    0.79
    sight
    0.79
    ight
    0.78
     sights
    0.77
    ibility
    0.75
    enment
    0.75
    Activations Density 0.010%

    No Known Activations