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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. 16023
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    INDEX
    Explanations

    words related to vision or visual perception

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "sight" and its variations

    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
    oug
    -0.70
    AMY
    -0.67
    conn
    -0.66
     misunderstanding
    -0.66
    idity
    -0.64
    currency
    -0.64
    udeb
    -0.64
    vu
    -0.63
    accompan
    -0.62
    uddin
    -0.62
    POSITIVE LOGITS
    seeing
    1.62
    orial
    0.98
    lights
    0.91
    enment
    0.91
    mares
    0.90
    ight
    0.89
     Sight
    0.88
    ened
    0.81
    ings
    0.80
    ening
    0.79
    Activations Density 0.023%

    No Known Activations