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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. 8981
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    Explanations

    phrases related to breaking records

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to record-breaking events

    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
    ulp
    -0.72
    iva
    -0.66
    onz
    -0.64
     Mandal
    -0.63
    MN
    -0.63
    yon
    -0.63
    gio
    -0.63
     Buk
    -0.61
     Instruct
    -0.58
     Central
    -0.58
    POSITIVE LOGITS
    breaking
    1.32
    breakers
    1.12
    breaker
    0.92
    fast
    0.91
    quished
    0.90
    break
    0.87
    tons
    0.86
    edient
    0.78
    down
    0.77
    beat
    0.75
    Activations Density 0.005%

    No Known Activations