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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. 8-RES-JB
    11. 11376
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    Explanations

    phrases related to consumer desires and expectations

    oai_token-act-pair · gpt-3.5-turbo

    consumer desires and expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    adem
    -0.75
    åŃIJ
    -0.68
    Aim
    -0.66
    çĶ°
    -0.65
    hoe
    -0.63
    ema
    -0.62
    ourage
    -0.61
    sted
    -0.61
     subordinates
    -0.57
     disciples
    -0.56
    POSITIVE LOGITS
     refunds
    0.74
    icators
    0.72
    hower
    0.72
    earable
    0.71
     Beware
    0.70
     TVs
    0.69
    inge
    0.69
    ©
    0.66
    icator
    0.64
    oppers
    0.63
    Activations Density 0.747%

    No Known Activations