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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 13400
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    INDEX
    Explanations

    negative descriptions directed at a specific person

    oai_token-act-pair · gpt-3.5-turbo

    negative attributes or criticisms associated with entities or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bounce
    -0.87
     square
    -0.77
     drawer
    -0.74
     hiber
    -0.74
     drink
    -0.73
     fright
    -0.71
     breathing
    -0.70
     sep
    -0.69
     context
    -0.69
     breat
    -0.69
    POSITIVE LOGITS
    FM
    1.38
    LP
    1.22
    derived
    1.21
    II
    1.20
    III
    1.19
    DL
    1.16
    SN
    1.15
    RN
    1.14
    related
    1.13
    induced
    1.12
    Activations Density 0.067%

    No Known Activations