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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. 9-RES-JB
    11. 15103
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "detainer"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nown
    -0.78
    manship
    -0.72
    #$
    -0.69
    æł
    -0.67
    ocene
    -0.66
     proportions
    -0.64
     bold
    -0.63
    IDS
    -0.62
     Zamb
    -0.62
    xual
    -0.61
    POSITIVE LOGITS
    ailed
    1.32
    ention
    1.25
    ective
    1.25
    ector
    1.22
    ected
    1.21
    ection
    1.19
    roit
    1.18
    achable
    1.18
    rans
    1.14
    ainer
    1.14
    Activations Density 0.027%

    No Known Activations