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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. 10-RES-JB
    11. 21475
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    Explanations

    phrases related to technical troubleshooting and problem-solving

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases related to problems or difficulties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Britann
    -0.74
     Transcript
    -0.73
    £ı
    -0.72
    incarn
    -0.71
    cknow
    -0.69
    nered
    -0.67
    clus
    -0.67
    ©¶æ
    -0.62
     Coffin
    -0.61
     Pax
    -0.61
    POSITIVE LOGITS
     noticeable
    1.21
     bother
    1.15
     terribly
    1.07
    icable
    1.05
     much
    1.00
     bothering
    1.00
     bothered
    0.96
    much
    0.96
     proble
    0.96
    icably
    0.95
    Activations Density 0.408%

    No Known Activations