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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. 6903
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    Explanations

    words related to marketing and appealing to specific demographics

    oai_token-act-pair · gpt-3.5-turbo

    references to targeting specific demographics and audiences

    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
     Machina
    -0.64
     Procedure
    -0.64
    bard
    -0.62
    senal
    -0.62
    Aid
    -0.61
     Anarchy
    -0.60
     Rebell
    -0.60
    THING
    -0.59
    inances
    -0.59
    RIP
    -0.58
    POSITIVE LOGITS
     audiences
    1.74
     viewers
    1.42
     consumers
    1.36
     listeners
    1.28
     audience
    1.28
     readers
    1.25
     millennials
    1.07
     unsuspecting
    1.07
     younger
    1.06
     customers
    1.06
    Activations Density 0.348%

    No Known Activations