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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. 5098
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals with the first name "Peter" across 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
    ascript
    -0.79
    ategory
    -0.72
     Tide
    -0.68
    ACTED
    -0.67
     towels
    -0.64
    DEF
    -0.62
    avorite
    -0.62
    raped
    -0.60
    ãĤ¤ãĥĪ
    -0.58
    ailability
    -0.57
    POSITIVE LOGITS
    kov
    0.80
    çīĪ
    0.76
    asma
    0.73
    aldi
    0.73
    iot
    0.72
    onz
    0.70
    asus
    0.70
    ç«
    0.69
    aviour
    0.68
    ophy
    0.67
    Activations Density 0.119%

    No Known Activations