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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 22697
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    Explanations

    Twitter usernames

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and usernames

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     substitutes
    -0.74
    theless
    -0.73
     borne
    -0.70
     ACTIONS
    -0.70
    é¾įå¥ij士
    -0.68
     substituted
    -0.65
     resid
    -0.65
     cured
    -0.62
     press
    -0.61
     uncertain
    -0.60
    POSITIVE LOGITS
    uff
    0.88
    Magikarp
    0.86
    WithNo
    0.85
    Jr
    0.84
    trump
    0.83
    _.
    0.83
    Own
    0.83
    Whe
    0.82
    FT
    0.82
    td
    0.81
    Activations Density 0.079%

    No Known Activations