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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. 4-RES-JB
    11. 13263
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    Explanations

    phrases related to the term "True" with varying degrees of emphasis represented by different activation values

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "True" in various contexts

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

    No Comments

    Negative Logits
    utive
    -0.83
    #$#$
    -0.77
    ULAR
    -0.76
    Ú
    -0.75
    hetti
    -0.72
    inventoryQuantity
    -0.70
    ittal
    -0.70
    ciation
    -0.70
    ular
    -0.70
    ulating
    -0.69
    POSITIVE LOGITS
    ramid
    0.82
    bone
    0.77
    True
    0.76
     Colors
    0.75
     True
    0.72
    False
    0.71
    Py
    0.71
     Boy
    0.70
     Way
    0.70
     Bones
    0.70
    Activations Density 0.022%

    No Known Activations