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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. 2-RES-JB
    11. 14569
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    Explanations

    numerical values within a specific range

    oai_token-act-pair · gpt-3.5-turbo

    references to structured data or lists, often indicating a section header or important details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lehem
    -0.75
    erity
    -0.73
    agna
    -0.71
     lav
    -0.70
    krit
    -0.67
    sole
    -0.66
    arest
    -0.66
     conduc
    -0.64
     multiplying
    -0.63
    washing
    -0.62
    POSITIVE LOGITS
    xff
    1.07
    x
    0.88
    644
    0.87
    MQ
    0.86
    xd
    0.82
    xe
    0.81
    3333
    0.80
    xb
    0.79
    --+
    0.77
    708
    0.76
    Activations Density 0.025%

    No Known Activations