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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. 8-RES-JB
    11. 18636
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    INDEX
    Explanations

    terms related to marketing and targeting specific demographics

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to appealing or attracting different audiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bats
    -0.68
     proceeding
    -0.68
    abs
    -0.66
    cknowled
    -0.66
    works
    -0.66
    rek
    -0.65
    llan
    -0.64
    RAY
    -0.63
    recy
    -0.63
    Attempt
    -0.63
    POSITIVE LOGITS
     sensibilities
    1.05
     audiences
    1.03
     voters
    0.93
     constituents
    0.85
     sentiments
    0.81
     listeners
    0.81
     gull
    0.81
     minorities
    0.80
     evangelicals
    0.80
     constituencies
    0.79
    Activations Density 0.191%

    No Known Activations