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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. 4-RES-JB
    11. 4077
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    Explanations

    emotional and reaction-related words

    oai_token-act-pair · gpt-3.5-turbo

    emotional responses related to fascination, anger, and shock

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

    No Comments

    Negative Logits
    estate
    -0.83
    opic
    -0.66
    itus
    -0.66
    esi
    -0.65
    othy
    -0.64
    oter
    -0.64
     launcher
    -0.63
     dated
    -0.61
    endi
    -0.60
    eway
    -0.59
    POSITIVE LOGITS
     onlook
    0.82
    ¿½
    0.82
     us
    0.75
     him
    0.68
    actionDate
    0.68
    terness
    0.67
     Circus
    0.66
     themselves
    0.65
    NESS
    0.65
     me
    0.64
    Activations Density 0.063%

    No Known Activations