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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. 19683
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    Explanations

    words related to advocating for or promoting a cause

    oai_token-act-pair · gpt-3.5-turbo

    actions related to advocacy or influence

    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
    abol
    -0.69
    uster
    -0.68
    abad
    -0.65
     Receiver
    -0.64
    omial
    -0.64
     Recogn
    -0.62
    ody
    -0.59
     Lumpur
    -0.58
    Interstitial
    -0.58
    fell
    -0.57
    POSITIVE LOGITS
     pushing
    0.91
     pushed
    0.86
    chairs
    0.85
     push
    0.82
    back
    0.80
    iment
    0.78
     toward
    0.76
     harder
    0.76
     aside
    0.74
    push
    0.73
    Activations Density 0.021%

    No Known Activations