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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. 2176
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    Explanations

    phrases related to accumulation or increase in quantity

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "building up."

    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
    ught
    -0.64
     pierced
    -0.61
    mir
    -0.60
    gee
    -0.60
    bit
    -0.60
    ��
    -0.60
    grim
    -0.58
     writ
    -0.57
    oway
    -0.56
    gnu
    -0.56
    POSITIVE LOGITS
    river
    0.84
    undown
    0.82
    dating
    0.79
    dates
    0.77
    grades
    0.73
     tents
    0.72
    erd
    0.69
     toilets
    0.69
     è£ıè
    0.67
    roots
    0.67
    Activations Density 0.036%

    No Known Activations