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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. 8-RES-JB
    11. 9948
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    Explanations

    references to scientific researchers and their activities or findings

    oai_token-act-pair · gpt-3.5-turbo

    references to researchers and their activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vid
    -0.79
    Bound
    -0.74
     Canaveral
    -0.68
    Lago
    -0.68
     decency
    -0.68
    ãĥĸ
    -0.67
    cott
    -0.66
    VW
    -0.65
    minster
    -0.65
     Maiden
    -0.64
    POSITIVE LOGITS
     hypothes
    1.09
     authors
    1.05
     studied
    1.02
     collaborated
    1.00
     analyzed
    0.99
     hypothesized
    0.96
     resear
    0.94
     conclude
    0.94
     concluded
    0.93
     undertook
    0.93
    Activations Density 0.133%

    No Known Activations