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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. 3-RES-JB
    11. 15350
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    Explanations

    words related to participation or involvement in various activities

    oai_token-act-pair · gpt-3.5-turbo

    the word "engage" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    named
    -0.72
    killed
    -0.72
    ickr
    -0.70
    hur
    -0.69
     undone
    -0.67
     emerges
    -0.66
     indebted
    -0.65
    lash
    -0.65
     hooks
    -0.63
    hai
    -0.62
    POSITIVE LOGITS
    ordinate
    1.06
    clus
    1.00
    animate
    0.99
     lieu
    0.94
    clusions
    0.93
     accordance
    0.91
    escap
    0.88
     vitro
    0.88
     situ
    0.88
    organic
    0.88
    Activations Density 0.322%

    No Known Activations