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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. 7-RES-JB
    11. 10976
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    INDEX
    Explanations

    phrases related to visual perception or observation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sight" and its related forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conn
    -0.70
    currency
    -0.66
    idity
    -0.65
    ulative
    -0.64
    iott
    -0.63
    esta
    -0.60
    AMY
    -0.59
    PU
    -0.59
    vu
    -0.58
    udeb
    -0.57
    POSITIVE LOGITS
    seeing
    1.72
    lights
    0.90
    orial
    0.88
    mares
    0.87
    ight
    0.86
    ening
    0.84
     sights
    0.83
    enment
    0.81
    ewitness
    0.81
    glass
    0.79
    Activations Density 0.033%

    No Known Activations