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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. 10-RES-JB
    11. 7052
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    proper nouns and names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ASA
    -0.92
     Sebastian
    -0.85
     HF
    -0.84
     Tib
    -0.83
    ãĥ³ãĤ¸
    -0.82
     Astro
    -0.79
     antib
    -0.76
     Sim
    -0.74
     Sas
    -0.74
     Ambro
    -0.74
    POSITIVE LOGITS
    ll
    1.69
    LL
    1.59
    ell
    1.50
    ELL
    1.35
    ill
    1.32
    oll
    1.24
    ILL
    1.21
     ll
    1.21
    ills
    1.16
    ells
    1.15
    Activations Density 0.267%

    No Known Activations