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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. 10007
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    Explanations

    phrases related to actions resulting in impact or revelation

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "blow" in different 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
    ournal
    -0.71
    heid
    -0.70
    aho
    -0.65
    angelo
    -0.65
    cer
    -0.65
    ript
    -0.64
    Gameplay
    -0.64
    gent
    -0.62
    Adapt
    -0.62
    rete
    -0.60
    POSITIVE LOGITS
     apart
    0.87
    job
    0.86
     blown
    0.84
     away
    0.83
     holes
    0.83
    pipe
    0.83
     blew
    0.83
     whist
    0.81
    blown
    0.79
    guns
    0.77
    Activations Density 0.038%

    No Known Activations