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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. 23121
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    Explanations

    phrases related to decisive actions and resolutions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to resolving issues or providing guidance

    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
     respectively
    -0.44
     alike
    -0.32
    cific
    -0.28
     friction
    -0.28
    bably
    -0.27
     onwards
    -0.27
     equivalents
    -0.26
     rather
    -0.26
     guiActiveUnfocused
    -0.26
     versa
    -0.26
    POSITIVE LOGITS
    byss
    0.32
    !!!!!!!!
    0.30
    estern
    0.28
     Beaut
    0.28
    ..................
    0.27
    !!!!!
    0.27
    eah
    0.27
     ..............
    0.27
     Babe
    0.26
    atche
    0.26
    Activations Density 4.096%

    No Known Activations