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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. 3-RES-JB
    11. 13419
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    Explanations

    words related to visual perception or observations

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "sight" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    accompan
    -0.75
    conn
    -0.73
    AMY
    -0.72
    oug
    -0.71
    atern
    -0.66
    idity
    -0.65
    inki
    -0.65
    utations
    -0.61
    iott
    -0.61
    adding
    -0.61
    POSITIVE LOGITS
    seeing
    1.52
    sight
    0.94
     Sight
    0.94
    lights
    0.89
    ight
    0.88
    enment
    0.86
    orial
    0.85
    ibility
    0.84
    ful
    0.82
    lessly
    0.77
    Activations Density 0.014%

    No Known Activations