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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 660
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    Explanations

    metaphorical expressions related to success and achievement

    oai_token-act-pair · gpt-3.5-turbo

    references to social dynamics and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.73
    shown
    -0.67
    ¿½
    -0.64
    ¶æ
    -0.63
     conflic
    -0.59
    ãĥ´
    -0.59
    iminary
    -0.58
    é¾įå
    -0.58
     pref
    -0.58
     DPR
    -0.57
    POSITIVE LOGITS
    !
    1.22
    !:
    1.15
    !'
    1.08
    !!!
    1.06
    !"
    1.04
    !!
    1.01
    !!!!
    0.99
    ?!
    0.90
    !?
    0.89
    !!!!!!!!
    0.88
    Activations Density 0.820%

    No Known Activations