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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. 13398
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and specific identifiers associated with people

    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
     Banking
    -0.69
     fulfillment
    -0.68
     circuits
    -0.68
     distance
    -0.66
     spl
    -0.64
     fallacy
    -0.63
     metaphors
    -0.63
     appointment
    -0.63
    INESS
    -0.62
     disguise
    -0.62
    POSITIVE LOGITS
    cia
    1.13
    imir
    1.11
    yna
    1.10
    chuk
    1.07
    ko
    1.05
    chev
    1.00
    chel
    0.98
    iq
    0.97
    nik
    0.97
    nikov
    0.97
    Activations Density 0.233%

    No Known Activations