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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. 6-RES-JB
    11. 2798
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    Explanations

    mentions of marketing or advertising related terms

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to promotional content and marketing terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uba
    -0.63
     breathing
    -0.61
     Lauder
    -0.61
     Takeru
    -0.59
    hered
    -0.59
     constellation
    -0.59
    channelAvailability
    -0.58
     reper
    -0.57
     warp
    -0.57
    agnar
    -0.57
    POSITIVE LOGITS
    ers
    2.39
    ership
    2.24
    er
    2.03
    ery
    1.40
    ered
    1.34
    ering
    1.33
    erness
    1.32
    ERS
    1.31
    erers
    1.28
    erer
    1.26
    Activations Density 0.144%

    No Known Activations