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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. 7-RES-JB
    11. 19177
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    Explanations

    words related to strong emotions or extreme conditions

    oai_token-act-pair · gpt-3.5-turbo

    the word "intense" depicting strong emotions or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isphere
    -0.94
    wright
    -0.81
    hurst
    -0.71
    osit
    -0.71
    OGR
    -0.70
    onsense
    -0.70
    acent
    -0.70
    walk
    -0.69
    ajor
    -0.69
    wich
    -0.68
    POSITIVE LOGITS
    mble
    0.82
     cardio
    0.80
     intensity
    0.80
     interrogation
    0.79
     intense
    0.79
     heat
    0.78
     emotional
    0.77
     emotion
    0.74
     bonding
    0.73
     cour
    0.73
    Activations Density 0.031%

    No Known Activations