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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. 10997
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    Explanations

    mentions of specific governmental and organizational entities, particularly those with acronyms such as 'SW' or 'NW'

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizational entities or groups

    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
    sei
    -0.88
    ãĥĥ
    -0.81
    pora
    -0.79
    staking
    -0.79
    iasis
    -0.78
    abase
    -0.76
    ua
    -0.73
    zai
    -0.70
    ãĤ¹ãĥĪ
    -0.70
    cler
    -0.70
    POSITIVE LOGITS
    ITCH
    1.22
    IFT
    1.20
    OW
    1.13
    TOR
    1.10
    IJ
    1.01
    SW
    1.00
    ESH
    1.00
    OOD
    0.98
    RP
    0.97
    ITNESS
    0.97
    Activations Density 0.042%

    No Known Activations