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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
    11. 7875
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    INDEX
    Explanations

    words related to actions or events that involve a form of 'sentencing'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to acknowledgment or validation

    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
     Wat
    -0.71
     wat
    -0.66
     Chosen
    -0.62
     targets
    -0.58
     dwar
    -0.58
     watering
    -0.58
     precious
    -0.58
     styl
    -0.58
     visitor
    -0.57
     saved
    -0.57
    POSITIVE LOGITS
    ence
    4.53
    ences
    3.09
    ENCE
    2.72
    encing
    2.26
    enced
    2.09
    ency
    2.05
    ently
    1.82
    ENC
    1.75
    ent
    1.71
    ential
    1.69
    Activations Density 0.007%

    No Known Activations