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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. 3-RES-JB
    11. 12192
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    Explanations

    phrases where two concepts or entities are strongly associated or linked together

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of coupling or connection between different elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emi
    -0.98
    acco
    -0.79
    shr
    -0.76
    hov
    -0.75
    ebra
    -0.75
    yers
    -0.75
    thing
    -0.73
    gor
    -0.71
    izens
    -0.70
    eway
    -0.70
    POSITIVE LOGITS
     coupled
    0.77
     together
    0.71
    tons
    0.71
     coupling
    0.70
     inexper
    0.68
     satisf
    0.67
     visuals
    0.67
     thereto
    0.66
    ãĤ¤ãĥĪ
    0.64
     pregnancies
    0.63
    Activations Density 0.014%

    No Known Activations