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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. 5477
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    Explanations

    terms related to descriptions of characters and settings, as well as ecological and environmental concerns

    oai_token-act-pair · gpt-3.5-turbo

    elements related to teenage experiences and cultural references

    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
    yss
    -0.70
    ealous
    -0.55
    imately
    -0.55
     Ago
    -0.54
    Reloaded
    -0.53
    perate
    -0.52
     Roof
    -0.52
     GOODMAN
    -0.51
    bidden
    -0.50
    inarily
    -0.50
    POSITIVE LOGITS
     fighter
    0.68
    stros
    0.60
     sedan
    0.59
     affair
    0.59
     package
    0.59
     puzz
    0.59
     cruiser
    0.58
    itaire
    0.58
     conco
    0.57
     appliance
    0.57
    Activations Density 1.099%

    No Known Activations