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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. 7-RES-JB
    11. 20632
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    Explanations

    terms related to military units, such as infantry and cavalry

    oai_token-act-pair · gpt-3.5-turbo

    references to military and transportation entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atis
    -0.78
    umble
    -0.70
    ñ
    -0.65
    abase
    -0.64
    ptions
    -0.64
    ntil
    -0.63
    anyahu
    -0.63
    ilitarian
    -0.61
    gur
    -0.60
    ulet
    -0.60
    POSITIVE LOGITS
    ett
    0.86
    ipeg
    0.78
    raft
    0.76
    hire
    0.74
    issance
    0.73
    layer
    0.73
    obal
    0.70
    NetMessage
    0.69
    acters
    0.69
    lihood
    0.69
    Activations Density 0.096%

    No Known Activations