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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. 4752
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    Explanations

    phrases criticizing the focus on trivial matters instead of important issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases that dismiss or undermine significant 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
    erto
    -0.80
     GOODMAN
    -0.79
    Enlarge
    -0.79
    eworld
    -0.78
    owship
    -0.78
    vantage
    -0.78
    onding
    -0.77
    region
    -0.76
    izont
    -0.75
    thood
    -0.75
    POSITIVE LOGITS
     nonsense
    1.56
     misinformation
    1.39
     disinformation
    1.39
     bullshit
    1.37
     meaningless
    1.36
     excuses
    1.36
     falsehood
    1.36
     propaganda
    1.34
     rubbish
    1.31
     obfusc
    1.31
    Activations Density 0.732%

    No Known Activations