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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. 13591
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    Explanations

    words related to feeling sad or disappointed

    oai_token-act-pair · gpt-3.5-turbo

    words related to sadness and emotional distress

    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
    perties
    -0.66
     appropriation
    -0.65
    drm
    -0.65
     Goth
    -0.64
     subp
    -0.63
    assetsadobe
    -0.63
     qualitative
    -0.62
     interception
    -0.61
    STD
    -0.61
     surveillance
    -0.61
    POSITIVE LOGITS
     sadd
    1.02
    rums
    0.86
    etr
    0.84
    bags
    0.83
     saddle
    0.83
    stra
    0.78
    rift
    0.77
    bridge
    0.77
    ening
    0.76
    rack
    0.75
    Activations Density 0.009%

    No Known Activations