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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. 4292
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    Explanations

    specific questions related to processes or actions

    oai_token-act-pair · gpt-3.5-turbo

    inquiries related to processes and methods

    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
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    Negative Logits
    erc
    -0.73
    ensation
    -0.73
    gage
    -0.71
    ENTION
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    Mi
    -0.67
    Drag
    -0.65
    AG
    -0.64
    ords
    -0.64
    Street
    -0.64
     1977
    -0.63
    POSITIVE LOGITS
     alike
    1.12
     thereof
    1.06
     consequently
    0.93
     accordingly
    0.92
     consequ
    0.87
     importantly
    0.82
     versa
    0.80
     therein
    0.76
     thereafter
    0.75
     else
    0.74
    Activations Density 0.173%

    No Known Activations