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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 5944
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    INDEX
    Explanations

    mentions of struggles or difficulties

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "struggle" and its variations

    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
    gone
    -0.80
    \\\\\\\\\\\\\\\\
    -0.79
    nesty
    -0.73
    ript
    -0.70
    dar
    -0.69
    othy
    -0.66
    resy
    -0.65
    ahu
    -0.65
    jiang
    -0.64
    zbollah
    -0.64
    POSITIVE LOGITS
     miser
    1.02
     horribly
    0.78
     financially
    0.76
     valiant
    0.74
     terribly
    0.74
     Rebell
    0.74
     luck
    0.71
    lessly
    0.70
     dogged
    0.70
     badly
    0.69
    Activations Density 0.048%

    No Known Activations