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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. 0-RES-JB
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    INDEX
    Explanations

    occurrences of the word "magnet"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to magnets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dou
    -0.87
     Hastings
    -0.82
     Execution
    -0.80
    lees
    -0.79
     Abel
    -0.76
     Assassins
    -0.76
    oti
    -0.75
    Surv
    -0.74
    termination
    -0.73
    eworks
    -0.73
    POSITIVE LOGITS
     magnet
    4.08
     magnets
    3.49
     Magnet
    2.74
     magnetic
    2.03
     Magnetic
    1.64
     electrom
    1.46
    mag
    1.38
    Mag
    1.36
    agnetic
    1.33
     galvan
    1.17
    Activations Density 0.032%

    No Known Activations