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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. 10-RES-JB
    11. 21465
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    INDEX
    Explanations

    specific time frames or deadlines

    oai_token-act-pair · gpt-3.5-turbo

    specific time-related requirements or deadlines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    天
    -0.78
    among
    -0.73
    slave
    -0.72
    OY
    -0.70
    ãĥ³ãĤ¸
    -0.69
    ply
    -0.68
    åij
    -0.68
    abilities
    -0.67
    Ĥª
    -0.67
    oy
    -0.66
    POSITIVE LOGITS
     arrival
    1.31
     receipt
    1.30
     completion
    1.21
     commencement
    1.20
     onset
    1.20
     inception
    1.18
     expiration
    1.10
     departure
    1.08
     enactment
    1.08
     initial
    1.06
    Activations Density 0.171%

    No Known Activations