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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. 1-RES-JB
    11. 13991
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lehem
    -0.77
    arest
    -0.71
     lav
    -0.69
    krit
    -0.69
    agna
    -0.67
    erity
    -0.65
     multiplying
    -0.64
    sole
    -0.62
    washing
    -0.61
     vel
    -0.60
    POSITIVE LOGITS
    xff
    1.18
    644
    0.93
    3333
    0.91
    MQ
    0.90
    66666666
    0.85
    x
    0.85
    xe
    0.85
    --+
    0.84
    xb
    0.82
    708
    0.82
    Activations Density 0.025%

    No Known Activations