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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. 6-RES-JB
    11. 609
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    Explanations

    phrases related to stylistic descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to different styles or modes of expression in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    emi
    -0.92
    wright
    -0.83
    ora
    -0.80
    arte
    -0.79
    oice
    -0.77
    umi
    -0.74
    ayson
    -0.74
    phys
    -0.74
    ma
    -0.72
    pedia
    -0.72
    POSITIVE LOGITS
    lihood
    0.91
     executions
    0.81
     precision
    0.77
     punishments
    0.74
     immersion
    0.73
     impunity
    0.72
     tendencies
    0.70
     dementia
    0.70
     insanity
    0.69
     proportions
    0.69
    Activations Density 0.040%

    No Known Activations