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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. 13619
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    Explanations

    mentions of financial losses

    oai_token-act-pair · gpt-3.5-turbo

    references to financial losses

    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
     Caucas
    -0.71
    ENTS
    -0.65
    rouse
    -0.63
    azi
    -0.62
     Caucasian
    -0.59
     Hispanic
    -0.59
    ansky
    -0.58
    osi
    -0.58
    ATT
    -0.57
    tein
    -0.57
    POSITIVE LOGITS
     losses
    1.07
     incurred
    1.02
     loss
    0.84
     aversion
    0.84
     Loss
    0.83
    hooting
    0.77
     margins
    0.75
    loss
    0.73
    iem
    0.73
    esville
    0.70
    Activations Density 0.016%

    No Known Activations