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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. 6-RES-JB
    11. 7342
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    Explanations

    references to the word "Cor" followed by a number, potentially related to a specific entity or concept

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Cor" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.86
    terday
    -0.84
    CRIP
    -0.78
    éĹĺ
    -0.76
    INESS
    -0.76
    WARE
    -0.76
    WAYS
    -0.74
    ï¸
    -0.72
    TPS
    -0.71
     Dangerous
    -0.66
    POSITIVE LOGITS
    rupt
    1.14
    rigan
    1.13
    ruption
    1.10
    fman
    1.10
    relation
    1.07
    rupted
    1.07
    porate
    1.02
    byn
    1.02
    bis
    1.00
    bett
    0.99
    Activations Density 0.024%

    No Known Activations