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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. 9-RES-JB
    11. 23043
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating disagreements or misrepresentations of opinions and values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     LIM
    -0.64
    leted
    -0.63
    accompanied
    -0.63
    alys
    -0.62
    listed
    -0.62
    letes
    -0.62
    reditary
    -0.61
     Accessed
    -0.61
    naissance
    -0.60
    quartered
    -0.59
    POSITIVE LOGITS
     realities
    1.24
     circumstances
    1.13
     situation
    1.12
     reality
    1.09
     mindset
    0.92
     situations
    0.90
     behavior
    0.89
     behavi
    0.87
     tastes
    0.86
     behav
    0.86
    Activations Density 0.669%

    No Known Activations