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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. 5254
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms related to financial and organizational entities

    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
    ¯¯¯¯¯¯¯¯
    -0.65
     Allaah
    -0.64
    taboola
    -0.63
     scientifically
    -0.63
     surpr
    -0.63
    ,,,,,,,,
    -0.62
    ogene
    -0.61
     unfocusedRange
    -0.59
    rooms
    -0.59
     speedy
    -0.59
    POSITIVE LOGITS
    KA
    1.01
    HY
    1.00
    KI
    1.00
    FU
    0.99
    KT
    0.96
    HE
    0.90
    GS
    0.88
    ESH
    0.87
    DM
    0.87
    OPS
    0.86
    Activations Density 0.146%

    No Known Activations