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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. 7-RES-JB
    11. 3704
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    Explanations

    phrases related to speaking or quotes

    oai_token-act-pair · gpt-3.5-turbo

    repeated special character sequences or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     shroud
    -0.93
     guiActiveUnfocused
    -0.72
     semblance
    -0.72
     touches
    -0.70
     Shroud
    -0.68
     muse
    -0.68
     visitor
    -0.67
     dispers
    -0.67
     descending
    -0.66
     detached
    -0.66
    POSITIVE LOGITS
    ł
    1.33
    ª
    1.33
    ľ
    1.22
    ij
    1.20
    ¡
    1.19
    ¦
    1.16
    ¹
    1.16
    IJ
    1.14
    Ĵ
    1.14
    ¤
    1.11
    Activations Density 0.084%

    No Known Activations