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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. 1157
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    Explanations

    phrases related to distraction and ignoring important issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest distraction from key issues

    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
    ipop
    -0.71
    anian
    -0.70
    abee
    -0.67
    spr
    -0.66
    awar
    -0.64
    estern
    -0.63
    mail
    -0.63
    encia
    -0.60
    çĶ°
    -0.60
    FTWARE
    -0.59
    POSITIVE LOGITS
     realities
    1.43
     facts
    1.35
     reality
    1.33
     fact
    1.27
     actual
    1.22
     inconvenient
    1.19
     truth
    1.12
     seriousness
    1.11
     genuine
    1.11
     real
    1.07
    Activations Density 0.406%

    No Known Activations