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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. 21539
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    Explanations

    references to specific locations or entities, particularly related to technical information or programming

    oai_token-act-pair · gpt-3.5-turbo

    elements related to film, media, or artistic references

    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
     Franch
    -0.84
     HUN
    -0.76
     Bett
    -0.72
    seller
    -0.68
     Johann
    -0.68
     Joh
    -0.68
     advoc
    -0.68
    atti
    -0.67
     celebr
    -0.67
     Donna
    -0.66
    POSITIVE LOGITS
    xes
    0.90
    x
    0.87
    roleum
    0.86
    ocy
    0.84
    onic
    0.83
    vert
    0.79
    ãĤ¨ãĥ«
    0.79
    X
    0.77
     Explosive
    0.77
    BuyableInstoreAndOnline
    0.77
    Activations Density 0.303%

    No Known Activations