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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. 3-RES-JB
    11. 11266
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    Explanations

    words related to negative emotions or attitudes, particularly feelings of resentment or dissatisfaction

    oai_token-act-pair · gpt-3.5-turbo

    words related to grudges and complaints

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theme
    -0.70
    allic
    -0.66
     charts
    -0.66
    icter
    -0.62
     Johnston
    -0.60
    ultz
    -0.59
    north
    -0.59
    ogun
    -0.58
    scope
    -0.58
    lar
    -0.57
    POSITIVE LOGITS
    uous
    0.81
    uously
    0.76
     pity
    0.76
     admiration
    0.74
     admire
    0.73
     betray
    0.70
     forgiveness
    0.68
     honour
    0.67
    IENT
    0.67
     vend
    0.66
    Activations Density 0.052%

    No Known Activations