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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. 1732
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    Explanations

    terms related to user-generated content and approaches targeting users

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to user-generated content and customer engagement

    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
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    No Comments

    Negative Logits
     bras
    -0.74
     beads
    -0.68
     tamp
    -0.68
     Cry
    -0.68
     sunset
    -0.67
     Burr
    -0.66
     limp
    -0.64
     Cob
    -0.64
     Phi
    -0.63
     Reeves
    -0.63
    POSITIVE LOGITS
    friendly
    1.65
    generated
    1.51
    driven
    1.45
    centered
    1.42
    centric
    1.41
    owned
    1.41
    oriented
    1.39
    focused
    1.38
    facing
    1.36
    controlled
    1.36
    Activations Density 0.058%

    No Known Activations