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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. 0-RES-JB
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly those mentioned frequently in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NAT
    -0.88
    dayName
    -0.79
    Charl
    -0.77
     ra
    -0.72
     Nept
    -0.70
     cust
    -0.70
     decrypt
    -0.69
    venants
    -0.68
     linux
    -0.67
     pci
    -0.66
    POSITIVE LOGITS
     Singer
    1.78
     Pryor
    1.73
     Savage
    1.71
     Gardner
    1.58
     Sanchez
    1.55
     Barber
    1.30
     Giant
    1.25
     Khan
    1.23
     Fitzpatrick
    1.22
     Barker
    1.19
    Activations Density 0.043%

    No Known Activations