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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. 12261
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    Explanations

    phrases related to degradation or negative impact

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments or criticisms

    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
     Dickinson
    -0.84
     Borders
    -0.79
     Wiley
    -0.77
     Scrib
    -0.77
    ħĭ
    -0.76
     Survivors
    -0.76
     Samp
    -0.76
     Rocks
    -0.75
     Sparrow
    -0.74
     Meadows
    -0.74
    POSITIVE LOGITS
    sized
    1.17
    significant
    1.07
    needed
    1.07
    lethal
    1.05
    equipped
    1.05
    advert
    1.04
    inf
    1.03
    exc
    1.03
    powerful
    1.03
    recent
    1.02
    Activations Density 0.064%

    No Known Activations