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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. 18915
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    Explanations

    references to the car brand BMW

    oai_token-act-pair · gpt-3.5-turbo

    references to the BMW brand

    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
    arters
    -0.73
    atro
    -0.71
    mond
    -0.68
    brates
    -0.66
     Chilean
    -0.66
    brate
    -0.65
    Atl
    -0.64
    aways
    -0.64
    odore
    -0.63
    porting
    -0.62
    POSITIVE LOGITS
    sonian
    0.84
    imil
    0.80
    ican
    0.76
    ied
    0.71
    ock
    0.69
    ograph
    0.69
    s
    0.66
    ing
    0.64
     Motorsport
    0.64
    ĺħ
    0.64
    Activations Density 0.031%

    No Known Activations