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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. 6-RES-JB
    11. 2666
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    INDEX
    Explanations

    names of broadcasters or media organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of broadcasters

    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
    illard
    -0.84
    entially
    -0.83
    eanor
    -0.80
    illet
    -0.74
    arcity
    -0.74
    ential
    -0.72
    ventus
    -0.69
    hots
    -0.68
    urat
    -0.67
    hiro
    -0.67
    POSITIVE LOGITS
     broadcaster
    1.05
     broadcasters
    0.95
     Broadcasting
    0.95
     Broadcast
    0.89
    casters
    0.87
     broadcasting
    0.84
     broadcasts
    0.83
     announ
    0.82
    levision
    0.78
    Ħ¢
    0.75
    Activations Density 0.023%

    No Known Activations