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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. 1-RES-JB
    11. 656
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    Explanations

    phrases related to advertising or promotional content

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ads" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wright
    -0.65
     Hou
    -0.64
     Purg
    -0.62
     Maya
    -0.61
     Haz
    -0.60
     salv
    -0.60
     spare
    -0.59
     salvage
    -0.59
     Phoenix
    -0.59
     Myers
    -0.59
    POSITIVE LOGITS
    ads
    1.21
    igmatic
    1.01
    apter
    1.00
    olph
    0.96
    oras
    0.95
    venture
    0.93
    ync
    0.86
    kins
    0.86
    enza
    0.86
    vertisements
    0.85
    Activations Density 0.004%

    No Known Activations