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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. 4-RES-JB
    11. 3643
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    Explanations

    calls to action

    oai_token-act-pair · gpt-3.5-turbo

    phrases and keywords related to action and engagement

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

    No Comments

    Negative Logits
    ollar
    -0.74
    olls
    -0.70
    avorite
    -0.68
    phia
    -0.68
    lege
    -0.68
    wine
    -0.68
    chnology
    -0.66
     herself
    -0.65
     Jelly
    -0.65
    ottest
    -0.64
    POSITIVE LOGITS
     behavi
    0.76
     inaction
    0.74
     coordination
    0.71
     directed
    0.68
    Management
    0.67
     CBI
    0.66
     behav
    0.66
     psi
    0.66
     undertaken
    0.65
    aline
    0.65
    Activations Density 0.794%

    No Known Activations