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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. 6-RES-JB
    11. 21931
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    Explanations

    phrases related to taking action or being action-oriented

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to action-oriented themes and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hedral
    -0.75
    atten
    -0.74
    olls
    -0.69
    avorite
    -0.69
    iddy
    -0.68
    thora
    -0.68
     Twisted
    -0.65
     herself
    -0.65
    grown
    -0.64
    chell
    -0.64
    POSITIVE LOGITS
     inaction
    0.85
    ãĥŀ
    0.77
     directed
    0.70
    ãĤŃ
    0.70
    BAT
    0.68
    ICT
    0.68
    EMENT
    0.67
     BDS
    0.67
     actions
    0.66
     behav
    0.65
    Activations Density 0.573%

    No Known Activations