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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. 1834
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    INDEX
    Explanations

    mentions of individual persons or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals in various contexts

    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
    UV
    -0.65
     Silence
    -0.64
     Norton
    -0.63
    PER
    -0.62
    arp
    -0.62
    GROUND
    -0.62
    ãĥ¥
    -0.61
     Destination
    -0.61
    ¤
    -0.61
    INA
    -0.61
    POSITIVE LOGITS
    ividual
    1.13
    istically
    0.98
    ities
    0.95
     who
    0.91
     identifiable
    0.89
    istic
    0.89
    hips
    0.88
    istics
    0.86
    ized
    0.83
     possessing
    0.82
    Activations Density 0.045%

    No Known Activations