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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. 14583
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    INDEX
    Explanations

    phrases indicating a significant impact or improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing a significant positive impact or benefit

    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
    esome
    -0.76
     Tags
    -0.75
    smoking
    -0.73
    arians
    -0.70
    nar
    -0.69
    ties
    -0.68
    yx
    -0.67
     Notting
    -0.67
    iris
    -0.67
    onomy
    -0.67
    POSITIVE LOGITS
     appreciated
    1.00
     benefited
    0.94
     amounts
    0.84
     appreci
    0.82
     appreciate
    0.77
     appre
    0.77
     impacting
    0.75
     impacted
    0.75
     effected
    0.75
     simpl
    0.74
    Activations Density 0.016%

    No Known Activations