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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. 14179
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    Explanations

    phrases related to personal experiences or emotions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to existential experiences

    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
    noticed
    -0.67
    quartered
    -0.62
    workshop
    -0.56
    dash
    -0.56
    Continue
    -0.55
    PDATED
    -0.54
    efeated
    -0.54
     Friendly
    -0.54
    mma
    -0.54
    busters
    -0.54
    POSITIVE LOGITS
     entails
    1.23
     boils
    0.99
     Means
    0.96
     means
    0.93
     meant
    0.92
     entail
    0.91
     involves
    0.86
     feels
    0.84
     happens
    0.83
     takes
    0.83
    Activations Density 0.052%

    No Known Activations