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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. 13982
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    Explanations

    references to hotels and similar establishments

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Hot" and a variety of Pokémon descriptions

    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
    theless
    -0.74
    xual
    -0.74
     muster
    -0.70
    ĸļ
    -0.68
     literacy
    -0.68
     acknow
    -0.67
    Downloadha
    -0.64
     cellul
    -0.64
     conclud
    -0.63
     dilig
    -0.63
    POSITIVE LOGITS
    Spot
    1.08
    ness
    0.99
    fix
    0.97
    mail
    0.97
    shots
    0.96
    fixes
    0.95
    keys
    0.91
    dog
    0.89
    rod
    0.89
    els
    0.88
    Activations Density 0.033%

    No Known Activations