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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. 6157
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    Explanations

    proper nouns, such as names of people and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names or entities

    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
    urst
    -0.76
    ãĤ¤ãĥĪ
    -0.74
    Spoiler
    -0.69
    iddy
    -0.69
    Yep
    -0.69
    Eh
    -0.67
    Huh
    -0.66
    frac
    -0.66
    ||||
    -0.66
    drm
    -0.65
    POSITIVE LOGITS
     also
    1.46
     additionally
    1.23
     furthermore
    1.21
     emphasizes
    1.12
     moreover
    1.08
     therefore
    1.04
     combines
    1.04
     recognizes
    1.03
     achieves
    1.02
     utilizes
    1.02
    Activations Density 0.464%

    No Known Activations