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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. 11-RES-JB
    11. 6849
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    INDEX
    Explanations

    phrases indicating strong emotions or intentions

    oai_token-act-pair · gpt-3.5-turbo

    the presence of future intentions or desires

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     touted
    -0.76
     likened
    -0.75
     favoured
    -0.72
     contrasting
    -0.69
     touting
    -0.68
     requisite
    -0.67
    agonists
    -0.67
     characteristic
    -0.67
     Advantage
    -0.67
     contrasted
    -0.66
    POSITIVE LOGITS
     finish
    1.21
     stay
    1.08
     go
    1.06
     die
    1.02
     fuck
    1.01
     get
    1.00
     fuckin
    0.98
     kill
    0.97
     eat
    0.96
     hurry
    0.96
    Activations Density 0.329%

    No Known Activations