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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. 4-RES-JB
    11. 19678
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    Explanations

    phrases seeking agreement or opinion

    oai_token-act-pair · gpt-3.5-turbo

    questions directed at the reader or audience

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

    No Comments

    Negative Logits
     Flavoring
    -0.91
     Cummings
    -0.72
    76561
    -0.71
     Heads
    -0.67
     Yesterday
    -0.66
     Guan
    -0.66
     Hours
    -0.65
     Patterns
    -0.64
     Paso
    -0.62
    Yesterday
    -0.62
    POSITIVE LOGITS
     conceive
    0.84
     reconcile
    0.84
     suffice
    0.82
     accept
    0.81
     recognise
    0.80
    zzo
    0.80
     qualify
    0.77
     persuade
    0.77
     avail
    0.76
     distingu
    0.75
    Activations Density 0.065%

    No Known Activations