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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. 13660
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    Explanations

    phrases related to specific names or terms, particularly including the term "fur" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific proper nouns or entities, particularly focusing on Halliburton and individuals associated with it

    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
    etic
    -0.93
    ocry
    -0.81
    ety
    -0.80
    etics
    -0.79
    esses
    -0.75
    etically
    -0.75
    ess
    -0.74
    ynthesis
    -0.71
    ockets
    -0.70
    orse
    -0.69
    POSITIVE LOGITS
    fur
    0.91
     Rahman
    0.91
    ted
    0.87
    gent
    0.85
    rious
    0.85
    rito
    0.84
    geons
    0.81
    ts
    0.81
    rence
    0.79
    ricanes
    0.77
    Activations Density 0.021%

    No Known Activations