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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. 11-RES-JB
    11. 14482
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    Explanations

    phrases addressing or referring to a specific audience or group of people

    oai_token-act-pair · gpt-3.5-turbo

    phrases that address the audience directly or reference familiarity with the audience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.75
    ablishment
    -0.73
     TAMADRA
    -0.67
     indistinguishable
    -0.63
    etus
    -0.62
     sunrise
    -0.62
    quickShipAvailable
    -0.62
    natureconservancy
    -0.62
    united
    -0.61
    apixel
    -0.61
    POSITIVE LOGITS
     missed
    1.21
     unfamiliar
    1.04
     forgot
    1.01
     haven
    1.00
     wondering
    0.96
     skipped
    0.96
     unaware
    0.90
     hadn
    0.88
     remember
    0.87
     doubted
    0.84
    Activations Density 0.115%

    No Known Activations