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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. 6-RES-JB
    11. 18855
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    Explanations

    specific names or entities, particularly those related to legal or criminal contexts

    oai_token-act-pair · gpt-3.5-turbo

    the letter "S" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CPR
    -0.73
     techno
    -0.68
     crib
    -0.66
     unrestricted
    -0.65
     downed
    -0.65
     laureate
    -0.64
     bottleneck
    -0.64
    catentry
    -0.64
     poppy
    -0.63
     starters
    -0.63
    POSITIVE LOGITS
    ESSION
    1.26
    OUND
    1.23
    AND
    1.19
    ustain
    1.19
    UD
    1.16
    ELF
    1.13
    RS
    1.13
    UM
    1.13
    ierra
    1.12
    ixty
    1.11
    Activations Density 0.048%

    No Known Activations