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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
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    references related to the automotive company "Ford"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Ford motor company

    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
    ablishment
    -0.77
    Ń·
    -0.77
    anwhile
    -0.75
     Flavoring
    -0.73
    ulhu
    -0.67
     newsp
    -0.66
     Seym
    -0.66
    aeper
    -0.66
    laus
    -0.65
    udic
    -0.65
    POSITIVE LOGITS
    ham
    0.99
    ragon
    0.98
    Ford
    0.96
    shire
    0.91
     Ford
    0.84
    clad
    0.79
    Sharp
    0.78
    rera
    0.76
     Motor
    0.75
    bies
    0.75
    Activations Density 0.008%

    No Known Activations