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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. 15252
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    INDEX
    Explanations

    expressions of speech

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express a negative sentiment or disappointment

    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
    annabin
    -0.60
    atars
    -0.60
     reservations
    -0.57
    requently
    -0.56
    ocl
    -0.55
    utive
    -0.55
    estones
    -0.54
    iculty
    -0.54
    atomic
    -0.54
    ary
    -0.53
    POSITIVE LOGITS
     huh
    1.24
     eh
    1.15
     sir
    1.04
     haha
    1.00
    ``
    0.96
     etc
    0.92
    »
    0.91
    said
    0.90
     yeah
    0.87
    cause
    0.86
    Activations Density 0.293%

    No Known Activations