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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. 14253
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    Explanations

    words related to online platforms and usernames

    oai_token-act-pair · gpt-3.5-turbo

    blocks of text that indicate the presence of specific Pokémon names or references

    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
     respons
    -0.59
     laying
    -0.59
     Coke
    -0.59
     sense
    -0.58
     Jeb
    -0.57
     Trouble
    -0.57
    ptives
    -0.57
     stimulus
    -0.56
     sanity
    -0.56
     inaccessible
    -0.56
    POSITIVE LOGITS
    atars
    1.30
    ocado
    1.30
    iator
    1.18
    oided
    1.16
    iations
    1.12
    ril
    1.11
    ionics
    1.11
    atar
    1.08
    iation
    1.06
    iew
    1.05
    Activations Density 0.026%

    No Known Activations