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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. 8-RES-JB
    11. 7921
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    Explanations

    phrases related to actions and activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of people performing actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orn
    -0.76
    chell
    -0.71
    iq
    -0.64
    è£ħ
    -0.63
    ior
    -0.62
     guiActiveUnfocused
    -0.62
    iu
    -0.61
    inct
    -0.61
    fter
    -0.61
    izon
    -0.60
    POSITIVE LOGITS
     albeit
    1.03
     however
    0.91
     but
    0.88
     sir
    0.81
     though
    0.81
     meanwhile
    0.75
     huh
    0.71
     etc
    0.69
     moreover
    0.68
    but
    0.64
    Activations Density 0.463%

    No Known Activations