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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. 388
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    INDEX
    Explanations

    phrases referring to thoughts or considerations within a group of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "mind" in relation to various subjects or issues

    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
    Matrix
    -0.77
    cano
    -0.77
    wcsstore
    -0.75
    wcs
    -0.75
    WARE
    -0.75
    ucc
    -0.75
    assium
    -0.71
    buster
    -0.71
    Ô
    -0.70
    NetMessage
    -0.70
    POSITIVE LOGITS
     individuals
    1.07
     strangers
    1.01
     fellow
    0.94
     those
    0.93
     citizens
    0.86
     persons
    0.85
     believers
    0.85
     passers
    0.85
     bystanders
    0.84
     people
    0.84
    Activations Density 0.154%

    No Known Activations