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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. 7-RES-JB
    11. 21363
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    Explanations

    phrases related to desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing a desire or intent related to actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Compass
    -0.80
    grounds
    -0.77
    soDeliveryDate
    -0.72
    hooting
    -0.72
    wikipedia
    -0.70
     Enhancement
    -0.68
    ements
    -0.64
    rawled
    -0.63
    strength
    -0.63
    ambers
    -0.61
    POSITIVE LOGITS
     bother
    1.09
     anymore
    1.00
     spoil
    0.97
     offend
    0.95
     admit
    0.95
     hear
    0.93
     spend
    0.92
     interfere
    0.91
     capitalize
    0.91
     celebrate
    0.89
    Activations Density 0.083%

    No Known Activations