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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. 7-RES-JB
    11. 3804
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    Explanations

    phrases related to exaggeration or overestimation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to exaggeration and overestimation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.79
    archive
    -0.73
     tweaked
    -0.70
    eeper
    -0.70
    zens
    -0.67
    ktop
    -0.67
     reminded
    -0.67
    lov
    -0.67
    Pg
    -0.65
    nant
    -0.65
    POSITIVE LOGITS
     severity
    0.86
     importance
    0.81
     seriousness
    0.80
     expectations
    0.80
     significance
    0.79
     accuracy
    0.79
     positives
    0.73
     effectiveness
    0.73
    é¾įå
    0.72
    ashes
    0.72
    Activations Density 0.291%

    No Known Activations