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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. 9-RES-JB
    11. 23940
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    Explanations

    phrases related to economics and policy analysis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to governance and policy-making

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Joined
    -0.82
    Enlarge
    -0.74
    FTWARE
    -0.64
     Nass
    -0.53
    Beaut
    -0.53
    pron
    -0.52
    Zip
    -0.52
    ãģĦ
    -0.52
    interstitial
    -0.52
     fist
    -0.51
    POSITIVE LOGITS
     shouldn
    1.23
     would
    1.21
     should
    1.20
     meanwhile
    1.20
     therefore
    1.19
     ought
    1.18
     cannot
    1.18
     must
    1.15
     will
    1.13
     wouldn
    1.10
    Activations Density 0.573%

    No Known Activations