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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. 7-RES-JB
    6. 5501
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    Explanations

    phrases related to negative feelings or situations, particularly those involving distress or disgust

    oai_token-act-pair · gpt-3.5-turbo

    terms related to distress or negative emotional states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.85
    FactoryReloaded
    -0.68
    frames
    -0.67
     Falling
    -0.65
    phone
    -0.65
    FIELD
    -0.65
    ton
    -0.63
    deen
    -0.63
    FORE
    -0.62
     briefs
    -0.62
    POSITIVE LOGITS
    anced
    1.25
    illation
    1.17
    ributes
    1.10
    ancing
    1.09
    aste
    1.05
    ribut
    1.00
    illery
    0.99
    ogg
    0.97
    antly
    0.95
    ressing
    0.93
    Activations Density 0.019%

    No Known Activations