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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. 11-RES-JB
    11. 14301
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    Explanations

    words related to feelings or emotions

    oai_token-act-pair · gpt-3.5-turbo

    words expressing emotions and personal sentiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciating
    -0.75
    fig
    -0.72
    arb
    -0.71
    agh
    -0.66
    utenberg
    -0.62
    adish
    -0.59
    esan
    -0.59
    ape
    -0.58
    sk
    -0.58
    src
    -0.57
    POSITIVE LOGITS
     compelled
    1.43
     obligated
    1.32
     obliged
    1.30
     betrayed
    1.19
     cheated
    1.16
     comfortable
    1.14
     confident
    1.14
     uneasy
    1.13
     pressured
    1.11
     intimidated
    1.07
    Activations Density 0.053%

    No Known Activations