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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. 3-RES-JB
    11. 16250
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    Explanations

    references to the football club "Chelsea"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Chelsea football club

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    haar
    -0.81
    olulu
    -0.74
    ebin
    -0.71
    tml
    -0.69
    lying
    -0.67
    utm
    -0.66
    Rand
    -0.66
    ommel
    -0.65
    umbn
    -0.65
    natureconservancy
    -0.65
    POSITIVE LOGITS
     Handler
    1.01
     Harbour
    0.78
    Leaks
    0.77
     Manning
    0.76
     FC
    0.76
     Manor
    0.69
     flats
    0.68
     Properties
    0.67
    ite
    0.65
     Beans
    0.64
    Activations Density 0.008%

    No Known Activations